Oferty pracy Data Engineer i Data Science — 2,277+ Ofert

Sharp Consultancy are partnering with a fast-growing business to recruit a driven and detail-oriented Data Analyst. This is a fantastic opportunity for someone early in their data career who is passionate about transforming complex datasets into meaningful insights that influence real business decisions. The RoleAs Data Analyst, you will play a key role in supporting operational and strategic decision-making across the business. Working closely with stakeholders, you will analyse data, identify trends, and help drive efficiencies through insightful reporting and system improvements. Key responsibilities will include:Compiling and analysing data to support ongoing business challenges and initiativesIdentifying inefficiencies within processes and recommending data-driven improvementsBuilding and maintaining data pipelines, with a focus on automation and scalabilitySupporting system integrity and consistency across head office and operational sitesDeveloping clear, impactful dashboards and visualisations using Power BIAssisting with POS and inventory system management, including menu updatesActing as a point of contact for data queries, providing technical support and trainingSupporting system installations and onboarding of new sitesManaging system downtime and troubleshooting issues as they arise About YouWe are looking for a proactive and naturally curious individual with a strong analytical mindset. You will be comfortable working with data, eager to learn, and confident communicating insights to a range of stakeholders. You will have:1–2 years’ experience in a data analysis or similar roleDemonstrable SQL and DAX skills, with the ability to write and optimise queriesExcellent communication skills, both written and verbalGood organisational skills and attention to detailA positive, can-do attitude with the ability to work independently and as part of a team Desirable experience includes:Exposure to Power BI or similar BI toolsExperience working with APIs and integrating data sourcesUnderstanding of different data structuresBackground within hospitality, retail, or leisure sectorsFamiliarity with POS systems such as Lightspeed This role offers the chance to join a collaborative and forward-thinking business where data plays a central role in decision-making. You will have the opportunity to develop your technical skills, contribute to meaningful projects, and grow within a supportive environment. For more information please apply or email Tom at tomdavage@sharpconsultancy.comSharp Consultancy is a finance and accountancy recruitment specialist assisting accounting and finance divisions of businesses in the Yorkshire and Derbyshire area. With over 30 years' experience we pride ourselves on sourcing excellent finance professionals across all divisions of an accounts function.Candidates must be eligible to work in the UK full time without restriction. To apply please send your CV to the e-mail address stated, quoting our reference and specifying which website you saw this position advertised on. Due to the high volume of applications, we receive it is not always possible to respond to unsuccessful applicants. Therefore, if we have not responded to your application within seven days, please note that on this occasion your application has not been successful. 

Senior/Lead Machine Learning Engineer Full-time Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description An ML engineer at IFS is part software engineer, part dev ops engineer and ML savvy, who combines knowledge of systems and applications, machine learning and artificial intelligence to build and deploy AI-driven solutions. The work is focused on designing and maintaining high-performance, scalable AI/ML infrastructure, building, and executing ML pipelines efficiently, serving models at scale, and creating the tools for continuous monitoring and improvements. Someone in this role uses their technical know-how to translate high-value and innovative AI opportunities into deployable and sustainable products. ML engineers are well-versed on AI/ML techniques, ranging from statistical learning, computer vision to generative AI. They have strong foundations in software engineering, ML algorithms and mastered several AI/ML serving frameworks. ML engineers work in close collaboration with data scientists, data engineers, architects, and DevOps engineers, on the creation and deployment of highly scalable infrastructure and AI-driven solutions. ML engineers act as AI infrastructure experts in the development of production-ready, scalable ML pipelines and AI-driven solutions along with our data scientist, data engineers, domain experts, partners, and clients. In addition, ML engineers at IFS continuously expand their knowledge of AI infrastructure, model monitoring/observability and drift detection, functional and business process domain knowledge and share this knowledge to guide others. Qualifications Required Skills: Programming Skills: Strong proficiency in Python and experience with relevant libraries (NumPy, Pandas, Kserve, etc.). Knowledge of additional languages like Go, C#, or SQL is a plus. Cloud Platforms & Dev Ops: Familiarity with cloud computing platforms (Azure), infrastructure as code (terraform, helm charts), CI/CD, Git Ops with ArgoCD and containerization technologies (Docker, Kubernetes). AI/ML Fundamentals: Foundational understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and model evaluation techniques. Data Handling: Proficiency in data preprocessing and feature engineering. Experience with relational and vector databases. Analytical Skills: Excellent analytical skills, with the ability to interpret complex datasets and derive actionable insights. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders Education and Experience: A bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related field, with at least 3+ years of experience in software development, including some experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Additional Information We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. In Industrial and Financial Systems Central and Eastern Europe Sp. z o.o., based in Warsaw, the Whistleblowing Procedure is in effect, outlining the methods for reporting legal violations, rules for accepting internal reports and taking follow-up actions, as well as the principles for protecting whistleblowers. Reports can be submitted through the application at https://report.whistleb.com/pl/ifs, available on the website https://www.ifs.com/. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

Director Engineering – Manufacturing (Hands-on AI Engineering Experience) Full-time Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description We are looking for an Engineering Leader to drive the operation of Manufacturing Product Development organization at IFS. This role combines strong people leadership, solid technical judgment, and deep collaboration with Product and Manufacturing domain stakeholders to deliver enterprise-grade solutions at scale. This is a leadership role with hands-on technical expectations, appropriate to experience. You will lead one or more engineering teams, with scope aligned to your experience, demonstrated impact, and business needs. Regardless of scope, this is not a people-only management role — technical credibility and product understanding are essential. AI is a core enabler in this role. You are expected to treat AI as a practical part of modern software delivery and product capability, helping teams use AI to improve engineering productivity and to deliver Manufacturing features that create real customer value. What You’ll Do Lead and develop software engineers delivering Manufacturing product capabilities, remaining hands-on where this adds the most value. Own delivery outcomes across the full software lifecycle, balancing scope, quality, risk, and operational responsibility (“you build it, you run it”). Provide technical leadership through design reviews, architectural discussions, and hands-on guidance when needed Ensure high standards of engineering quality using modern practices:CI/CD, automated testing, observability, secure coding Lead and continuously improve engineering execution across teams by applying Agile and iterative delivery principles, strengthening flow, predictability, and quality through data‑driven improvement and removal of systemic impediments Lead and drive practical adoption of AI-assisted engineering workflows across teams Contribute to or guide in the development of AI-enabled Manufacturing capabilities Work closely with Product Management, Architecture, and Manufacturing domain experts to turn business needs into scalable solutions Manufacturing Domain Focus Strong domain leadership across Manufacturing areas including (depth expected in at least one, with working knowledge across others): End-to-end Manufacturing lifecycle (Plan, Build, Quality, Maintain) Regulatory and industry-specific requirements Large-scale, multi-tenant, configurable Manufacturing solutions Ability to align Manufacturing domain strategy with platform, data, and integration capabilities AI Expectations AI is expected to be embedded, responsible, and outcome driven. You are expected to: Use AI-assisted development tools in your own work Enable teams to use AI to improve delivery speed, quality, and confidence Support the development and validation of AI-powered Manufacturing features where applicable Understand relevant AI integration patterns (e.g., RAG-based features, agent-assisted workflows, evaluation practices) at a level appropriate to your scope This role requires AI fluency and sound engineering judgment. Qualifications Required Background Strong foundation in software engineering and enterprise application development Demonstrated experience leading and developing engineers Hands‑on familiarity with modern architectures, including cloud‑native services, APIs, CI/CD, and automated testing Ability to read, review, and reason about production code, operating comfortably at both code‑level and system‑level design Experience working closely with Product Management and business stakeholders Strong communication, coaching, and decision-making skills Preferred Experience Manufacturing, ERP, or industrial enterprise software Large-scale, configurable, multi-tenant products AI-enabled features in enterprise software Customer-facing technical discussions in enterprise environments What We’re Looking For You balance technical depth with people leadership You lead with context and trust, not control You care deeply about quality, maintainability, and customer impact You see AI as a practical accelerator, not a buzzword You optimize for long-term sustainable delivery You grow impact by enabling others Additional Information We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

Join the team in the travel tech industry and take full ownership of conversion and revenue optimization across B2C booking products used in multiple markets - from hypothesis to recommendation, with real autonomy over how you get there. Senior Product Data Analyst RESPONSIBILITIES Partner with Product on weekly questions: funnel conversion, campaign health, experiment outcomes, and where users drop off. Support price accuracy and metasearch performance: analyze patterns, quantify impact, track trends with engineering and platform teams. Own Mixpanel data quality: validate events, maintain dashboards, flag tracking gaps. Design and interpret A/B tests: check sample balance, segment when it changes the decision and share clear recommendations with stated confidence and caveats. Use and maintain operational reporting in BI tools (bookings, revenue, marketing performance, and funnel health) - reading and acting on dashboards, with the option to build your own if you have the skills. Communicate findings clearly to Product, stakeholders, and leadership - even when the data isn't strong enough yet to support a decision. REQUIREMENTS 5+ years of experience in product, marketing, or business data analysis. Strong SQL skills for analyst work: querying and aggregating warehouse data (not building ETL pipelines). Hands-on Tableau/Power BI experience as a user: published data sources, filters, and aggregated reporting. Hands-on Mixpanel/Amplitude experience: events, funnels, cohorts, and experiment properties. Practical A/B test analysis experience (hypothesis framing, sample checks, segmented readouts). Experience with multi-market B2C consumer products (not B2B/enterprise tools) - comfortable thinking across different markets and user behaviors, not just one locale. High level of English, written and verbal. NICE TO HAVE Travel or e-commerce domain experience. Comfortable using AI tools (e.g. to query and analyze data, not just for coding). Google Analytics experience for traffic and acquisition context. Experience with session replay or UX analytics tools (e.g., Microsoft Clarity). Python or R experience for one-off analysis scripts. WHAT DO WE OFFER ON THIS PROJECT? Cooperation based on a B2B contract. Hybrid work based in Warsaw (1-2 days per week), but this is flexible. The support of a dedicated mentor. In the relationship, we focus on direct communication. When you join speedapp, you will be put in touch with a dedicated mentor who will make sure that you enjoy working with us and with the client. Events and integration meetings, as well as participation in various initiatives, e.g., sports. Access to the benefits offering (medical care, life insurance, Multisport card). WHAT DOES THE RECRUITMENT PROCESS LOOK LIKE? Application: Apply and submit your CV. After the application review, the recruiter will contact selected candidates by phone. Screening: Have a conversation with a speedapp recruiter about your experience. Next steps: The speedapp recruiter will explain the recruitment process for the specific position. The speedapp recruiter will stay in touch with you throughout the entire process. ABOUT SPEEDAPP At speedapp, we believe that an organization is only as good as the people who make it up. We are a team of IT experts and other professionals working for our clients around the world (including Israel, Austria, USA). We go far beyond the HR category. We build IT teams and also help manage them. 👉 10 years of experience 👉 +100 clients worldwide 👉 +300 hires per year 💎 We have won the prestigious "Forbes Diamonds" award four times (2022, 2023, 2024, 2025). We are a member of the European Fast Growth Icons network and FinTech Poland. We are ranked 18th among the 100 fastest growing companies 2023 by Clutch. DO YOU HAVE ANY QUESTIONS? Contact the recruiter responsible for this process directly. Anna WięckowskaBusiness IT Recruitment Specialistanna.wieckowska@speedapp.pl

** Johnson Service Group (JSG) is a nationally recognized professional staffing and recruiting firm that is looking for a degreed and experienced Data Scientist to fill a hybrid contract assignment in Atlanta, Georgia. Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Education: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Master's or Ph.D. is a plus. Experience: 5 to 10 years of experience in data science, including machine learning and statistical analysis. Key Responsibilities: Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights. Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations. Feature Engineering: Engineer and select relevant features for machine learning models, enhancing their predictive power. Algorithm Development: Build and fine-tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem. Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses. Model Deployment: Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data Ethics: Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross-functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals. Mentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Skills: Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Solid understanding of databases and data manipulation using SQL. Excellent problem-solving and critical thinking skills. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark). Knowledge of data ethics, privacy, and compliance considerations. A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transforming data into actionable insights, building predictive models, and driving data-driven decision-making. This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff.  This position may require some bending, lifting, climbing, prolonged sitting, prolonged walking, walking on gravel or crawling when necessary. JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.     #D650

ABOUT THIS POSITION Waystar, the leading Healthcare Revenue Cycle Management (RCM) technology company, is seeking a skilled Data Engineer to support our growing Data Licensing and Resale product team. In this role, you will design, build, and optimize scalable data pipelines and infrastructure to support the delivery of licensed data products and insights to customers. You will work with complex healthcare data from multiple source systems and ensure data accuracy, reliability, and performance using modern cloud platforms like Snowflake and Google BigQuery, along with SQL, Python, SQL Server, and Postgres. The ideal candidate will have an understanding of healthcare data and RCM processes, with strong technical expertise and the ability to collaborate across data, product, and business teams to build data products that deliver high-quality, accurate insights to clients. You will play a key role in building the infrastructure needed to support data monetization strategies and ensuring that licensed data products meet customer expectations for performance and accuracy. WHAT YOU'LL DO 1. Data Architecture and Engineering Design and implement scalable, high-performance data pipelines using Snowflake and Google BigQuery to deliver licensed data products to customers. Develop and maintain ETL/ELT processes to ingest, transform, and store structured and unstructured data, ensuring data accuracy and timeliness. Build data infrastructure to support real-time and batch processing use cases for customer-facing products. Establish and enforce data quality and privacy standards and monitoring to ensure consistent and accurate data delivery to customers. Monitor and troubleshoot data pipeline performance issues and implement proactive improvements to minimize downtime and data delivery delays. 2. Data Modeling and Integration Design and implement data models to support data licensing and resale use cases, ensuring they meet customer requirements and business goals. Integrate data from multiple source systems, including SQL Server, Postgres, and external APIs, ensuring data consistency and reliability. Create and maintain data dictionaries and metadata to support customer understanding and self-service analytics. Implement data partitioning, indexing, and clustering strategies to improve query performance and reduce processing time. Develop and maintain secure de-dentification and data-sharing mechanisms to ensure appropriate access controls for licensed data products. 3. Data Licensing and Product Support Work closely with product and business teams to define data product requirements and deliver licensed data products that meet customer expectations. Implement secure data-sharing protocols to ensure that licensed data is accurately and efficiently delivered to customers. Design and implement data anonymization and de-identification processes to meet data privacy and HIPAA compliance requirements. Create scalable data delivery mechanisms to support on-demand and scheduled data access for external clients. Ensure data licensing agreements and customer contracts are reflected accurately in data access controls and delivery processes. 4. Value Delivery and Customer Outcome Achievement Partner with business and product teams to understand customer goals and translate them into data engineering solutions. Ensure that data products and pipelines deliver measurable business value and directly improve customer outcomes (e.g., better claim processing insights, faster payment reconciliation). Establish KPIs to track the business impact of data solutions and continuously improve them. Actively identify opportunities to improve data quality and speed of delivery to enhance customer experience and support data product growth. 5. Automation and Performance Optimization Automate repetitive data processing tasks using Python and SQL to reduce manual effort and increase efficiency. Monitor and optimize data pipeline performance, addressing bottlenecks and failures to improve customer satisfaction. Leverage Snowflake’s performance features (e.g., micro-partitions, clustering, materialized views) to optimize query performance. Implement data orchestration using tools like Airflow or dbt to automate and monitor workflows. WHAT YOU'LL NEED Bachelor's or Master’s degree in Computer Science, Data Engineering, or comparable experience. 5–7 years of experience in data engineering with a focus on cloud-based data platforms. Experience working with relational databases such as SQL Server and Postgres. Proven experience designing and implementing large-scale data pipelines with a focus on value delivery and performance. Strong understanding of data warehousing, data lakes, and modern data architectures. Experience working with data-sharing frameworks and licensing models. Strong business-focused mindset with a clear drive to deliver measurable outcomes. Strong attention to detail and focus on data accuracy and quality. Preferred: Experience working with healthcare data and understanding RCM processes (claims, billing, payments). Familiarity with data orchestration tools (e.g., Airflow, dbt). Experience with data security, access controls, and healthcare data compliance (HIPAA). Experience with data licensing agreements and customer-facing data products. Strong problem-solving skills and ability to work in a fast-paced environment. Active use of artificial intelligence (AI) tools and techniques to enhance performance, drive innovation, and improve decision-making across business functions. Ability to leverage AI tools and platforms to streamline workflows, improve decision-making, and drive innovation. Curiosity and adaptability in exploring emerging AI technologies, with a mindset for continuous learning and experimentation. Why Join Us Opportunity to work with cutting-edge cloud data technologies. Play a key role in delivering licensed data products that drive customer value. Work in a collaborative and innovative environment. ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (https://twitter.com/Waystar) on Twitter. WAYSTAR PERKS Competitive total rewards (base salary + bonus, if applicable) Customizable benefits package (3 medical plans with Health Saving Account company match) We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays Paid parental leave (including maternity + paternity leave) Education assistance opportunities and free LinkedIn Learning access Free mental health and family planning programs, including adoption assistance and fertility support 401(K) program with company match Pet insurance Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Job Category: Technology/Engineering Job Type: Req ID: R3045

As a Senior Data Scientist at Epicor, you will be a key contributor in designing, building, and deploying high‑impact ML and AI solutions that empower our customers and accelerate product innovation. You will architect machine learning systems, develop models at scale, and shape the end‑to‑end technical strategy that powers Epicor’s analytics and intelligence platform. You will partner closely across engineering, product, and business teams to ensure our ML solutions deliver measurable value. We are seeking applicants with deep technical expertise, strong problem‑solving instincts, and a passion for driving innovation with data What you will be doing: Architect and develop scalable ML and AI solutions, aligning model design and deployment with product and customer needs. Build, train, and optimize machine learning models using Python, ML frameworks, and large‑scale data pipelines. Leverage PyTorch, ML SDKs, and GPU‑accelerated workflows to support advanced model development and experimentation. Work with large, complex datasets to design robust feature engineering, data processing, and model evaluation approaches. Collaborate cross‑functionally with engineering, analytics, finance, and professional services stakeholders to deliver end‑to‑end ML solutions. Participate in the design of ML system architecture, ensuring reliability, quality, and operational efficiency. Research emerging AI/ML technologies and integrate new capabilities that strengthen Epicor’s long‑term data science strategy. What you will likely bring: 6+ years’ experience building, deploying, and supporting large‑scale analytics, ML, or AI solutions. Advanced proficiency in Python, including development of production‑grade ML models. Experience with PyTorch, ML SDKs, and modern machine learning frameworks. Demonstrated success working with large datasets and architecting scalable data science workflows. Experience designing ML system architecture and end‑to‑end data science solutions. Applied analytics experience with strong analytical thinking and problem‑solving skills. Experience collaborating across technical and non‑technical teams to drive ML‑driven outcomes. What could set you apart: Experience with GPU‑accelerated ML workflows. Familiarity with R for data science or analytics research. Experience writing or interpreting ML/AI whitepapers or applied research. Exposure to big data pipelines and distributed compute environments. Background collaborating with finance or professional services teams on data‑driven initiatives. #LI-HYBRID #LI-MB2 About Epicor At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs. Competitive Pay & Benefits Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being. Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally. Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development. Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development. Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership. Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect. Global Mobility: Comprehensive support for international relocations and permanent residency processes. Equal Opportunities and Accommodations Statement Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless. We are an equal-opportunity employer. Recruiter: Matthew Brady At Epicor, we know that success comes from working together. Everyone has a role to play, and it’s the essential partnerships across our company that are crucial to our customers' success and our growth as a business. We’re truly a team. Working in close partnership, we bring wide-ranging talents together in powerful collaborations. We think innovatively, share our knowledge generously, and constantly learn from our colleagues. We’re proud of the success we achieve every day, but we never stop challenging ourselves and encouraging each other. Together, we go further and imagine an even brighter future. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners to the world’s most essential businesses – the hardworking companies who make, move, and sell the things the world needs. Thank you for considering a career with Epicor. Whether you're exploring opportunities on our careers page, preparing for a phone screen or interview, have already applied, or have been through our application process, we appreciate your interest and the time you have invested. We are committed to showing you how much we care about your future. Epicor Career Assistant can help you land a job nearly 2.5x faster than the national average. We've brought you the best job searching tools all in one place, at no cost to you. At Epicor, we believe putting people first is the right thing to do. Click here to get started. At Epicor, we are committed to upholding the highest standards of integrity and transparency. We have become aware of phishing scams where individuals pose as our recruiters, hiring managers, and/or HR Business Partners to obtain personal information. These scams can seem legitimate, but it's important to know how to protect yourself. How to Identify Phishing Scams: Epicor Will Never Ask for Payment: Our recruiters will never ask for payment to apply for a position or as a condition of employment. For example, any required background check will be facilitated by Epicor. Beware of Misleading Communications: Do not pay any fees to individuals, agencies, or employment portals related to an interview or other interaction with Epicor. Epicor will not be responsible for any loss or damage suffered. Verify Authenticity: All legitimate Epicor communication will come from the following alias/domains: "Workday@epicor.com", "Recruiting@epicor.com", and/or "First name.Last name@epicor.com". The only valid domain is www.epicor.com. Verify job positions on our careers site at jobs.epicor.com and confirm that the recruiter you speaking to is listed on the requisition. Be cautious of generic emails and check for misspellings of Epicor or non-Epicor email addresses (e.g., gmail.com, yahoo.com, or even close variations like @epicor.talent.com). If you have any questions or encounter any suspicious emails, job postings, and/or communication from what appears to be Epicor, please report them to recruiting@epicor.com immediately.

Company DescriptionSwish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.Duties:Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issuesDetect data inaccuracies such as missing, out of range or otherwise incorrect on-field dataSource origins of data inaccuracies through data pipeline dependencies and python code baseDefine data validation tests to flag future game errorsResearch accurate roster active statuses, primary positions and game participationValidate data changes after logic updatesProduction model feature deep dives to explain project market linesClearly document findingsDevelop intimate familiarity with existing databases and construct metadata referencesWith guidance, support lead Data Scientists in feature development and model analysisRequirements:Bachelor's Degree in Computer Science, Data Science or similar majorMinimum of 1 year of experience in football data analysisDeep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenariosData Extraction, Wrangling and Analysis in PythonStrong SQL querying skillsAttention to detailPreferred:Strong Python data management programming skillsData Visualization experience with a user application like StreamlitDeep knowledge of a second sport including football, basketball, baseball, hockey or tennisExposure to the data science process and tech stackAnomaly Detection TechniquesSwish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Deine Persönlichkeit. Deine Karriere im Consulting. Campana & Schott ist eine internationale Management- und Technologieberatung mit den Schwerpunkten Transformationsvorhaben in den Bereichen Digitalisierung, New Work und Sustainability sowie Geschäftsbereichs- und Organisationstransformation. Bei uns erlebst Du eine Kultur der Menschlichkeit und arbeitest in Teams, die sich unterstützen, Herausforderungen annehmen und außergewöhnliche Lösungen für unsere Kunden finden. Wir geben Dir Raum für Dich und Deine Ideen, fördern Deine persönliche und fachliche Entwicklung und übernehmen gemeinsam Verantwortung für eine nachhaltige Zukunft. Uns interessiert, welche Expertise Du mitbringst, welche Talente und Ambitionen Du hast und was Du noch lernen möchtest. Noch mehr sind wir aber daran interessiert, zu entdecken, wer Du bist. Working with us: Just be. Dein Job: Als Technologieexpert:in berätst Du unsere Kunden zum Einsatz neuester Technologien aus dem Data und Microsoft Universum, z.B. MS Fabric, Azure Data Factory, Azure Databricks, Power BI und Azure AI. Die Projekte begleitest Du über unterschiedliche Phasen hinweg - von Anforderungen, bis Konzept und die technische Umsetzung / Development. Dabei beschäftigst Du Dich mit Geschäftsprozessen, Daten und IT Systemen, um Use Cases für Big Data und Advanced Analytics Szenarien zu implementieren. Als Data Engineer in vielseitigen Projekten integrierst, modellierst, transformierst und analysierst Du Daten auf Basis von Kundenanforderungen.  Du entwickelst Dich weiter und baust innovatives Expertenwissen in Datenplattformen bzw. in den relevanten Technologien und Methoden weiter auf (z.B. Big Data Architekturen, Business Intelligence und Machine Learning). Dein Profil: Hochschulabschluss, z. B. in Business Analytics, Wirtschaftsingenieurwesen oder (Wirtschafts-)Informatik Kenntnisse in SQL und Python  Praxiserfahrungen im Bereich Data Engineering, Data Warehousing, Data Science oder Reporting in den relevanten Technologien sind von Vorteil  Interesse an innovativen Technologien und den neuesten Trends in Cloud Architekturen und technischen Entwicklungen Fließende Deutsch- und Englischkenntnisse in Wort und Schrift Kommunikationsstärke, Eigeninitiative und Freude an der Zusammenarbeit – im Team und mit Kunden Reisebereitschaft und Lust auf die Arbeit beim Kunden vor Ort Unser Angebot: wachsen & wohlfühlen Keine Floskeln: Als inhabergeführtes Unternehmen bieten wir echte Freiräume, faire Bedingungen und eine transparente Führung. Start nach Maß: Ein zweiwöchiges StartUp-Camp und unser Buddy-Programm sorgen für ein optimales Onboarding. Karriere 4.0: In unserem wachsenden Unternehmen kannst Du Dich individuell weiterentwickeln, z.B. durch technische und fachliche Zertifizierungen im Microsoft-Umfeld. Professionell & persönlich: Freue Dich auf exzellente Projektarbeit beim Kunden und ein vertrauensvolles Verhältnis zu Kolleginnen, Kollegen und Vorgesetzten. Zusammenarbeit leben: Wir tauschen uns regelmäßig in Foren und Fachgruppen aus und veranstalten außergewöhnliche Company-Events. Work-Life-Balance: Profitiere von flexiblen Arbeitszeiten und unserem Sabbatical-Modell „Private Time“. Chancengleichheit:Campana & Schott setzt sich für Chancengleichheit, Vielfalt und Integration am Arbeitsplatz ein. Wir unterbinden Diskriminierung und Belästigung jeglicher Art aufgrund von Geschlecht, Hautfarbe, Religion, Alter, sexueller Orientierung, Herkunft, körperlicher und geistiger Fähigkeiten, geschlechtlicher Identität oder anderer geschützter Merkmale.

Data Engineer – Health Tech Fully Remote, UK. Category: Permanent Jobs Salary: 55-70k + Pension, Healthcare, Fully Remote Ref: JT/JC/6018 Telephone: 01908 752385 Job Title: Data Engineer - Health Tech (Fully Remote, UK) Salary: £70,000 + 28 days holiday + 5% pension + extra perks Location: Fully Remote (UK-based) Team Size: 6 Type: Permanent, Full-time About the Role We're a growing health tech company on a mission to improve how healthcare data is connected, shared, and understood. We're looking for a Data Engineer who thrives on solving complex data challenges and wants to make a direct impact on patient outcomes through technology. You'll join a small, agile team of six engineers working on our bespoke data platform - built to handle large-scale integrations across healthcare providers and systems. You'll take the lead on data migration, conversion, onboarding, and optimisation, ensuring every dataset is accurate, consistent, and ready to power smarter clinical tools. Key Responsibilities Design, develop, and maintain ETL processes to move and transform healthcare data. Build and optimize complex SQL queries across large and varied data sources. Create and manage SSIS packages for robust data migration and integration workflows. Support data conversion and onboarding for new partners and systems. Investigate and resolve data-related issues with a problem-solving mindset. Collaborate with developers, analysts, and implementation teams to shape platform improvements. Contribute to data model design, quality assurance, and performance tuning. About You Strong experience with SQL (analytic queries, performance tuning, stored procedures). Proven experience building ETL pipelines using SSIS or similar tools. Background in data migration or systems integration, ideally in a complex or regulated environment. Passion for problem-solving and continuous improvement. Experience handling healthcare data, or a strong interest in learning the space. Comfortable working remotely and collaboratively within a small, high-performing team.

Data Engineer Permanent - £50k - £60k Glasgow area - approx. 2 days a month onsite We're looking for an experienced Data Engineer to join a growing Data Team within a global organisation and play a key role in the development of its next-generation data platform. This is an opportunity to join at an exciting point in the journey, as the organisation continues to evolve towards a modern, Snowflake- and dbt-led data architecture. You'll have the opportunity to influence engineering standards, build new data products and help shape how data is engineered and used across the business. The Role As a Data Engineer, you'll be responsible for designing, building and supporting data pipelines and data products across a modern cloud data environment. You'll be involved in: Building and maintaining ELT/data transformation pipelines using dbt and cloud data platforms Developing robust and scalable data pipelines using Python and SQL Designing and maintaining data models to support analytics, reporting and data science Working with cloud data platforms to optimise performance, data structures and compute costs Implementing data quality checks, automated testing and monitoring Developing and maintaining CI/CD pipelines and applying software engineering best practice to data development Using Git and version control, code reviews and automated deployment processes Integrating data from a range of internal and external sources Supporting data governance, security and regulatory requirements About You We're looking for an experienced Data Engineer who combines strong technical capability with a genuine software engineering mindset. You'll ideally have 5+ years' commercial experience in data engineering, although we're open to candidates with strong relevant experience. We're particularly interested in candidates with experience across: Cloud data warehousing - experience with Snowflake is highly desirable, but not essential. Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation, ingestion and pipeline development SQL - including query optimisation and performance tuning Git and CI/CD - with experience working in a modern software engineering environment Data warehousing and data modelling principles Building and supporting production-grade data pipelines Snowflake experience would be a strong advantage, but it is not a prerequisite. If you have strong experience with another modern cloud data platform and the right engineering background, we'd still be keen to hear from you. Experience of Microsoft Azure would also be highly advantageous, particularly: Azure Data Factory Azure SQL Azure Data Lake / ADLS Azure DevOps Microsoft Fabric Azure Databricks Experience with PySpark, Airflow, Dagster, Prefect or other orchestration technologies would also be useful. We're particularly interested in people who have worked with modern data platforms and understand the principles of ELT, automation, testing, observability, data quality and infrastructure-as-code. What You'll Bring A strong understanding of modern data engineering practices A genuine interest in building well-engineered, maintainable data solutions Strong problem-solving and analytical skills The ability to work independently and take ownership Good communication skills, with the ability to explain technical concepts to non-technical stakeholders A collaborative approach and experience working in Agile environments Curiosity and a desire to influence and improve the way data engineering is done You'll have the chance to: Help shape a modern Snowflake and dbt data platform Influence engineering standards, architecture and ways of working Work with modern cloud and data technologies Build data products that have a direct impact on business decision-making If you're an experienced Data Engineer with strong Python, SQL and CI/CD experience, and have worked with modern cloud data platforms such as Snowflake, Databricks, Synapse, BigQuery or similar, we'd like to hear from you.

Die meisten können mit dem Begriff PAYBACK etwas anfangen. Bei dir stellen wir uns sehr gerne etwas genauer vor. Wahrscheinlich kennst du PAYBACK - durch die Frage an der Kasse oder durch unsere weit verbreitete Shopping App. Und wir hoffen natürlich, du antwortest an der Kasse mit „Ja", denn bei uns sammelst du mehr als nur °Punkte. Egal ob Kunde, Partner oder Kollege: Mit PAYBACK wird jede Aktion zum lohnenden Erlebnis. DEINE AUFGABEN * Du bist fachlicher Experte und arbeitest als Teil eines interdisziplinären Teams an der Entwicklung unserer produktiven ML-Plattform auf Basis der Google Cloud Platform (GCP) * Du verantwortest die Konzeption, Entwicklung wie Implementierung robuster und skalierbarer Komponenten unserer internen ML-Plattform - dazu gehört die Implementierung von Machine Learning Pipelines, Monitoring-Tools und Governance-Mechanismen, die den gesamten Lebenszyklus von ML-Modellen unterstützen * Du treibst die Entwicklung von produktionsreifen Python-Bibliotheken voran und befolgst dabei höchste Qualitätsstandards, Best Practices sowie Architekturen, die eine effiziente und wartbare ML-Entwicklung ermöglichen * Du implementierst moderne MLOps Praktiken und CI/CD-Pipelines, um den stabilen, skalierbaren und sicheren Betrieb unserer KI-Systeme auf GCP zu gewährleisten * Du stellst den reibungslosen Betrieb unserer KI-Systeme sicher und kümmerst dich proaktiv um die Qualität, Skalierbarkeit, Performance und Sicherheit * Du arbeitest eng mit Data Scientisten, Business-Stakeholdern und Tech-Teams zusammen und begleitest den gesamten Lebenszyklus von ML-Modellen, sprich von der Konzeption über die Bereitstellung bis hin zur Überwachung und Optimierung DEIN PROFIL * Du verfügst über mehrjährige Berufserfahrung in der Entwicklung und Operationalisierung von Daten- und KI-Produkten * Du bringst herausragende Kenntnisse in Python mit, insbesondere in der Entwicklung von skalierbaren, robusten und getesteten Python-Paketen sowie -Anwendungen und bist mit Clean Code-Prinzipien, Software-Architektur-Patterns und modernen Entwicklungsprozessen vertraut * Du besitzt tiefgreifende Hands-on-Erfahrung mit der Google Cloud Platform (GCP) sowie ihren relevanten Diensten (z.B. Vertex AI / Gemini Enterprise Agent Platform, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, GKE) und hast zudem fundierte Kenntnisse wie praktische Erfahrung in MLOps, CI/CD und der Nutzung von Tools wie Terraform und dbt * Du verstehst und beherrschst den gesamten Lebenszyklus von Machine Learning Modellen - von der Experimentation über das Training, Deployment, Monitoring bis zur Retraining-Strategie - und kannst diesen effizient auf einer Plattform abbilden * Dich zeichnen ausgeprägte analytische Fähigkeiten, eine strukturierte Arbeitsweise und ein proaktiver Ansatz bei der Lösung komplexer Probleme aus * Eine gute Kommunikationsfähigkeit sowie fließende Englisch- und idealerweise vorhandene Deutsch-Kenntnisse runden dein Profil ab UNSERE BENEFITS * Tasty Breaks: Leckere Verpflegung in unserem Esszimmer - auch vegetarisch oder vegan und vieles sogar kostenfrei * Move it, move it: 24/7 Zugang zur Turnhalle, in unserem Fitnessstudio trainierst du und wir übernehmen die Kosten für dich * Do it your way: Flexible Arbeitszeiten, 30 Tage Urlaub, bis zu 2 Tage Homeoffice pro Woche * Easy Going: Deutschland-Ticket inklusive * Get Together: Team-Events, Social Days, Ski-Events und mehr * Grow like a Pro: Individuelle Trainings und Weiterentwicklungsmöglichkeiten * Good Vibes: Bei uns sind Hunde willkommen! PAYBACK ist das führende Bonusprogramm in Deutschland und eine der größten und leistungsfähigsten Marketingplattformen weltweit. Als Vorreiter der Data Economy entwickeln wir hier in München alle technischen Lösungen selbst. Entwickeln - das kannst du bei uns auch, und zwar dich selbst und gemeinsam mit uns das PAYBACK Programm. Interessiert? Dann freuen wir uns auf deine Bewerbung! PAYBACK schätzt Vielfalt - come as you are [1] Youtube Video References Visible links 1. https://www.youtube.com/embed/FGgIiLfsab4?

Senior NLP Data Scientist/Developer Warsaw/Wroclaw, PolandMadrid, Spain Pivotics is an AI software design and implementation company with the headquarters based in San Diego, California and its R&D offices located in the EU and which is focused on AI/ DL products realization. Job Description: We are seeking a Senior NLP Data Scientist/Developer to work on cutting-edge AI technology projects in the Medical, Retail, and Manufacturing fields. The ideal candidate must be familiar with all aspects of NLP models, including Deep Learning, transformers, LLM, Prompt Engineering and generative AI. Key qualifications: Bachelor degree in Computer Science Mathematical background, experience in solving applied problems using Deep Learning technologies, NLP in particular Knowledge of a variety of Natural Language Processing techniques and their real-world applications (sentiment analysis, transformers, etc., task-oriented dialog systems) Proficiency in modern Python language Ability to extract solvable sub-tasks from the big common project goal, formulate a problem in ML terms, evaluate the result Ability to deliver full-cycle data science product – from task statement and research to the model, ready for production implementation Ability to work with research papers and SOTA in the field, select appropriate algorithms that suit best for the task solving Excellent communication and interpersonal skills Strong problem solving, time-management, organizational and project-management skills Interest and ability to work in a close, interdependent team of data analysts and business owners At least 1 year industry experience building ML/NLP systems Solid software engineering skills for prototyping Fluent English speaker (upper-intermediate and higher). Additional requirements (a plus): Master’s or Ph.D. in Natural Language Processing, Data Science, Linguistics, Computer Science or another quantitative field C++ knowledge Knowledge of one of the Deep Learning frameworks: PyTorch, Tensorflow, Keras Ability to work with Big Data Production experience solving named entity recognition tasks, sentiment analysis, developing chat-bots Responsibilities: The NLP project will be based on deep learning and related to the majority of tasks in the field, including topic modeling, information retrieval, classification, named entity recognition etc. Apply Natural Language Processing techniques and statistical analysis to extract and validate data Work closely with customer to convert business problems to data science tasks Deliver full-cycle data science product Provide NLP expertise to the company DA team Cooperation Terms: Work schedule: flexible and remote work schedule Contracts: B2B Terms: Full-time employment / ability to work from any EU location Benefits & perks: Friendly and united international team of colleagues Hybrid/office/ remote working model Flexible time schedule Variety of knowledge sharing, training and self-development opportunities Sports compensation 14 days of paid vacation Corporate events' celebrations, outdoor activities If you feel that you are a great fit, please submit your CV.

Data Engineer II -AWS Data Platform (Redshift, Glue, and Airflow) Full-time Business Segment: Digital Platforms & Ventures Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description This opportunity is within our Fandango group – a collection of trusted entertainment brands that guide over 50 million movie and TV fans throughout their viewing journey. Whether it’s purchasing tickets to their favorite blockbusters through Fandango, reading trusted reviews on Rotten Tomatoes, or streaming the latest releases at home via Fandango at Home, our platforms help audiences find, watch, and enjoy content with ease. Our team thrives on shaping how people discover and experience entertainment, one screen at a time. Job Description The candidate will design and develop data pipelines, data marts, and schemas to support our data warehousing environments and analytical requirements Database architecture and design of data warehouses & data marts to support presentation layers elastic cubes, reporting and analytics. Hands on experience with tsql or psql development, query tuning, table development, stored procedures, functions Hands on experience with creating indexes to enhance performance of workloads Hands on experience with development of ETL/ELT processes, share responsibilities for monitoring the data warehouse and data marts Hands on development and support of data pipelines in Airflow, AWS Glue, Azure Data factory, Python, Golang Hands on experience with cloud environments Azure, AWS, GCP Troubleshoot and resolve data issues in production system Communicate with business users and project managers to resolve business problems and create solutions Use of technical experience to suggest better solutions to new and existing problems Involvement with other IT departments providing systems communication processes Meet with various IT groups (other departments and computer operations' staff) to address issues/concerns. This includes other business unit IT groups, as well as the technical operations group (Server Group and other Infrastructure groups) Identify software solutions needed for new projects Weekly reporting to management on project status and issues On call production support Qualifications Minimum Qualifications: 5 years of data warehousing / OLAP experience 5 years multidimensional database architecture and design experience 5+ years of SQL Experience 3+ years of Python Experience 2+ years of Redshift Experience 2+ years of NoSQL Experience Team and vendor partner management Clear understanding of principles and techniques of Web development Experience with AWS Glue and Airflow Experience with API Dimensional database architecture experience Formal systems life cycle methodology experience Desired Qualifications: Cloud Data Warehouse operations experience Tableau, SSRS, big data and Realtime BI experience Experience with data streaming Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-Versant worksite, most commonly an employee’s residence. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

<p><strong><em>This is us</em></strong><em><br><br></em>At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. <br></p><p><strong><em>This is the job</em></strong><br></p><p>Within the telecommunications domain, we are actively seeking a Senior Data Scientist to strengthen our team focused on building AI-driven solutions that enhance customer experience and operational efficiency.</p><p>You will be working on advanced Generative AI use cases, including conversational AI (chatbots and voice bots), as well as internal AI tools that support business teams in their daily operations. The role involves designing and scaling solutions such as RAG-based systems and intelligent assistants, enabling both customer-facing and internal automation scenarios.</p><p><strong><em>This is the team</em></strong><em><br></em></p><p>In this role, you'll become a vital member of a diverse and international Data Science team within the IT organization.</p><p>The team works closely with multiple business units (B2C, B2B, Finance, Technology), delivering data-driven solutions that go beyond proof of concept and are designed for production from the very beginning.</p><p>You will collaborate with data engineers, product stakeholders, and non-technical partners, contributing to end-to-end AI solution development - from ideation and prototyping to deployment and scaling.<br><strong><em><br>This is you</em></strong></p><ul><li><p>Master’s degree in AI, Machine Learning, Data Science, or a related field</p></li><li><p>3–6 years of experience as a Data Scientist (preferably at Senior level)</p></li><li><p>Strong expertise in AI/ML and practical experience delivering business-impacting solutions</p></li><li><p>Hands-on experience with Generative AI, especially LLMs</p></li><li><p>Experience with NLP use cases (e.g. chatbots, voice bots, text processing)</p></li><li><p>Solid programming skills in Python and experience working with APIs, SQL, and Git</p></li><li><p>Experience designing and implementing production-ready solutions</p></li><li><p>Ability to communicate complex technical concepts to non-technical stakeholders</p></li></ul><p>Nice-to-have skills:</p><ul><li><p>Experience with telecom domain or customer-facing digital products</p></li><li><p>Knowledge of Agentic AI, RAG systems, vector databases, and chunking strategies</p></li><li><p>Familiarity with LLM frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or similar</p></li><li><p>Experience with AWS and/or on-premise deployments</p></li><li><p>Knowledge of Docker, Airflow, CI/CD pipelines (e.g. GitHub Actions/Runners)</p></li><li><p>Experience with Google AI/NLP ecosystem</p></li></ul><p><strong><em>This is your role</em></strong></p><ul><li><p>Design, develop, and scale AI/ML solutions with a strong focus on Generative AI</p></li><li><p>Build and optimize NLP-based systems, including chatbots and voice assistants</p></li><li><p>Develop and productionize RAG-based solutions and AI-powered internal tools</p></li><li><p>Collaborate with cross-functional teams to translate business needs into technical solutions</p></li><li><p>Deliver proof-of-concepts and evolve them into scalable, production-ready systems</p></li><li><p>Work closely with data engineers to ensure robust deployment and integration</p></li><li><p>Contribute to building a data-driven culture by demonstrating measurable business impact</p></li></ul><p>&nbsp;</p><p><strong><em>What awaits you at Avenga?</em></strong></p><p><em><br>At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.</em></p>

<p><strong><em>This is us</em></strong><em><br><br></em>At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. <br></p><p><strong><em>This is the job</em></strong><br></p><p>At the intersection of applied ML research and real-world AI product development, we are looking for a <strong>Senior Machine Learning Research Engineer</strong> to help explore, reproduce, benchmark and validate cutting-edge ML methodologies.</p><p>You will work in an R&amp;D / PoC environment where the main focus is not only to build models, but to understand research papers, replicate promising approaches, evaluate them against strong baselines, and prepare reliable ground truth data for validation.</p><p>This role is a strong fit for someone who enjoys reading academic papers, debugging open-source research repositories, building benchmark datasets from scratch, and turning research ideas into working, measurable prototypes under practical compute constraints.</p><p><strong><em>This is the team</em></strong><em><br></em></p><p>You’ll join a senior AI / ML research and engineering environment working on early-stage applied AI initiatives. The team operates in a fast-moving R&amp;D setup where scientific thinking, rigorous evaluation, and practical engineering are equally important.</p><p>In this role, you’ll collaborate with AI engineers, ML researchers, and technical stakeholders to test research hypotheses, validate model performance, and understand which approaches are technically feasible for further product development.<br><strong><em><br>This is you</em></strong></p><ul><li><p>Strong machine learning fundamentals and hands-on experience with ML research or applied research projects</p></li><li><p>Experience reading scientific / academic ML papers and understanding the methodology behind them</p></li><li><p>Ability to dissect academic papers, debug open-source repositories, and replicate research results</p></li><li><p>Experience identifying, curating, and constructing benchmark datasets for testing specific ML methodologies</p></li><li><p>Ability to prepare ground truth data from large volumes of raw or semi-structured data</p></li><li><p>Strong Python skills and hands-on experience with modern ML / deep learning frameworks</p></li><li><p>Practical understanding of model evaluation, baselines, metrics, error analysis, and reproducibility</p></li><li><p>Comfortable working under compute constraints and adapting research methods to practical limitations</p></li><li><p>Able to work independently in an ambiguous R&amp;D / PoC environment</p></li></ul><p>Nice-to-have skills:</p><ul><li><p>Experience building rigorous evaluation pipelines from scratch</p></li><li><p>Experience comparing original paper claims against baselines and alternative methods</p></li><li><p>Experience with data annotation, dataset quality control, or benchmark design</p></li><li><p>Experience with LLMs, agentic systems, or tool-based AI workflows</p></li><li><p>Experience converting research workflows into reusable components, tools, or deployable skills for LLM-based systems</p></li><li><p>Experience with MLOps, experiment tracking, model versioning, or reproducible ML pipelines</p></li><li><p>Publications, PhD / research background, or strong open-source research contributions are a plus</p></li></ul><p><strong><em>This is your role</em></strong></p><ul><li><p>Read and analyze scientific / academic ML papers with understanding</p></li><li><p>Identify promising methodologies and assess whether they are worth reproducing</p></li><li><p>Build PoCs based on academic papers and open-source research implementations</p></li><li><p>Debug, adapt, and reproduce research repositories under practical compute constraints</p></li><li><p>Identify, curate, and construct benchmark datasets required to test specific methodologies</p></li><li><p>Prepare ground truth data from large volumes of data to validate and test PoCs</p></li><li><p>Build evaluation pipelines to compare replicated approaches against baselines</p></li><li><p>Measure model performance critically and verify original paper claims</p></li><li><p>Document findings, limitations, experiment results, and recommendations for next steps</p></li><li><p>Collaborate with AI engineers and technical stakeholders to turn validated research into practical project direction</p></li></ul><p>&nbsp;</p><p><strong><em>What awaits you at Avenga?</em></strong></p><p><em>At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.</em></p>

We Are:At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.You Are:You are a curious and motivated engineer with a passion for developing innovative algorithms and cutting-edge machine learning solutions. You thrive in collaborative environments, enjoy tackling complex mathematical challenges, and are eager to contribute to real-world industrial applications. Your background in engineering, computer science, mathematics, or physics has equipped you with a solid foundation in programming and analytical thinking. You are comfortable working with C++ and Python, and you have experience or a keen interest in fields such as machine learning, artificial intelligence, data mining, optimization, and uncertainty quantification.You approach problems with creativity and rigor, seeking not just to solve them, but to create robust, scalable solutions that drive product excellence. You value continuous learning, whether it’s deepening your theoretical knowledge, mastering new tools and libraries, or collaborating with experts across disciplines. You communicate effectively, are receptive to feedback, and believe that sharing ideas leads to better outcomes. You aspire to make a measurable impact in a high-tech environment and are excited by the possibility of contributing to patentable innovations and research publications. If you’re looking for a role where your technical skills and innovative mindset can shape the future of design optimization, you’ll find your place on our team.What You’ll Be Doing:Designing, implementing, maintaining, testing, evaluating, benchmarking, and documenting advanced algorithms and mathematical functions for ANSYS optiSLang.Collaborating closely with customer support teams to ensure developed algorithms are applicable and effective for industrial scenarios.Learning and applying best practices in software development, machine learning, and optimization.Performing bug verification, release testing, and providing support for assigned software products.Investigating and resolving technical problems identified by QA or product support, and developing innovative solutions.Working under the guidance of experienced development managers and lead developers, contributing to both new methods and the improvement of existing implementations.The Impact You Will Have:Advance the capabilities of ANSYS optiSLang, driving innovation in process integration and parametric design optimization.Enable robust machine learning-based sensitivity analysis, optimization, and uncertainty quantification, empowering customers to solve complex engineering challenges.Enhance the efficiency and reliability of industrial applications through state-of-the-art algorithmic developments.Support the creation of high-performance, multi-disciplinary optimization tools, expanding the reach and impact of Synopsys solutions.Contribute to research publications and patentable ideas, shaping the future of optimization technologies.Facilitate the seamless integration of numerical simulation tools, ensuring scalable and flexible design workflows for customers worldwide.What You’ll Need:Master’s degree in Engineering, Computer Science, Mathematics, Data Science, Technical Physics, or a related field.Strong proficiency in C++ and Python programming, with experience in object-oriented development.Background in at least one of the following: machine learning, artificial intelligence, data mining, single-objective optimization, multi-objective decision making, or uncertainty quantification.Familiarity with Python libraries for machine learning and data analysis, such as TensorFlow, Theano, PyTorch, Scikit-learn, pandas, etc.Theoretical knowledge of regression and classification methods, and experience with high-dimensional applications.Who You Are:Analytical thinker with strong problem-solving skills.Effective communicator, able to collaborate across teams and share ideas clearly.Quick learner, adaptable to new technologies and methodologies.Team player, comfortable working in geographically distributed groups.Detail-oriented, committed to quality and excellence in all deliverables.The Team You’ll Be A Part Of:You’ll join the ANSYS optiSLang Research and Development team, a dynamic group dedicated to advancing state-of-the-art software for machine learning-based sensitivity analysis, optimization, and uncertainty quantification. The team fosters innovation, collaboration, and continuous learning, working closely with experts across engineering, mathematics, and software development disciplines to deliver impactful solutions for industrial applications.Rewards and Benefits:We offer a comprehensive range of benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Role Title: Scala Engineer /Data Engineer (CIP) Duration: 6 month contract Location: London, mainly remote working with 1 day per month at office for co-working days Rate: up to £598 p/d Umbrella inside IR35Role purpose / summaryWhat is the Customer Insight Platform (CIP)?CIP is composed of multiple agile, lean teams who together provide a platform and services to collect, evaluate and analyse customer interaction data.Context: Teams across CIPCIP focuses on capturing customer interaction data across the client estate and making it easily available to a wide audience through several different channels.CIP processes and stores a vast amount of customer interaction data, using cutting edge & emerging technologies to perform bulk operations at scale, whilst operating, maintaining, and improving a critical platform that our consumers depend on.It also provides several different channels that allow teams within the client to access and analyse the data in a digestible format to support their day-to-day responsibilities.Context: CIP Insights & Reputation Team (CIR) CIP is driven by the principal need to detect and prevent fraudulent access to taxpayer data and prevent organised repayment fraud. Our team splits this process into two phases: Attribute ReputationWe build, operate and maintain services that prioritise collecting high quality data, that is verifiable and reputable from Customers; the services we offer can help confirm and validate the data points (or attributes) they have provided. For example:Bank AccountsCheck the sort code existsCheck against a Third-Party API to confirm that the Sort Code, Account Number and Name provided match the name held by the Bank Addresses Ingest UK Postal Data from Post Office and Ordnance Survey data Provide a postcode lookup for addresses Phone Numbers A verification service that sends a text message via a Third-Party to confirm that the User has access to the mobile device and number provided. EmailsA verification service that sends an email to confirm that the User has access to the email they have provided We are constantly building an enhancing these services to continually improve the data attribute quality held by the client. We also continually ingest many other attributes of interest from all transactions across the client that are captured as part of Audit Events. InsightsThe process through which large amounts of data are collated from tax transactions to glean insights into common attributes. In particular, we assert their validity and derive risk scores for transactions based on whether the attributes in question, or other attributes used in combination with that attribute, have been used in historic transactions associated with past suspicious or fraudulent activity.Collaboration with other data product and front-end product teams will form the core of creating a frictionless customer experience to exploit the digital audit data that CIP holds.Insights from Attribute Reputation are crucial for the client services, and the CIR team is pioneering data sharing with other government departments and local authorities.Desired behavioursBe proactiveResponsible and motivated self-starterUser centric attitudePrioritise people over processesDrive lean results; understand the value of iterative delivery Be evidence driven Advocate for 'doing the right thing'Help others understand your work through co-participatory design, pairing, demos and documentation Make complex look and sound simple Be kind, creative and convincing Role description The CIP Insights & Reputation team is seeking a Software/Data Engineer to help develop and maintain both the Attribute and Insights Data Products. We support services that run both on the Multi-Channel Digital Tax Platform (MDTP) and the Customer Insights Platform (CIP).The Software Engineer will be part of a vibrant multi-disciplinary team. They should be comfortable around back-end coding languages (Scala/Python), frontend languages (HTML/CSS/JS), development frameworks (Play/Spark), Agile Methodologies/Practices (Kanban/Scrum/Sprint), Operational Support (Kibana/Grafana), CI/CD (Jenkins/Airflow), RESTful APIs, Databases (MongoDB, Postgres, Hudi), AWS (Aurora RDS, S3, ECS, Secrets Manager), Infrastructure as code (Terraform) and third-party libraries. How we work: We favour:Breaking down a high-level problem as a team upfront and delivering the core value first Delivering individual business benefits to production, rather than bundling tasks together Collaboration, communication, regular pairing and thoughtful course-correction Taking the time to write simple and easy to maintain code Willingness to make and participate in improvements for the greater good of CIP Working cross-discipline rather than adhering to tightly defined roles.Common tasks including to:Participate in the design and creation of scalable software Design and develop clean functioning, testable code on the frontends and backends, write effective APIs, develop and manage well-functioning databases and applications with security and data protection settings Collaborate with the CIR product owner, business analyst, data engineers and the wider CIP teams to ideate software solutions Peer reviewing pull requests Testing and fixing bugs or other coding issues Set up, maintain and improve continuous integration Support live services with troubleshooting and monitoring Write technical documentation Knowledge & experience Knowledge of frontend languages (HTML, CSS, JavaScript) Knowledge of multiple backend languages (e.g. Scala, Java, Python) and libraries Familiarity with databases (e.g. Postgres, MongoDB, Splunk) Familiarity with big data tools (Spark, Presto, AWS EMR) Proven experience as a Full Stack Developer or similar role Experience coding in continuous integration context AWS suite experience Understands the importance of testing and automation Working in a lean, agile environment Working in a "you build it you run it" team Experience coding in continuous integration context Excellent communication Team player Great attention to detail An analytical mind Skills & technologies Essential:Scala/JavaPlay Framework (or other MVC/Rest API frameworks) SQL DB (e.g. Aurora, Postgres) NoSQL DB (e.g. MongoDB) Linux/Unix AWS (S3, ECS, Lamda, etc.) HTML/CSS/JavaScript Terraform SBT Continuous Integration (Jenkins) Agile methodologiesDesirable:PythonAirflowDockerKibanaGrafana All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

A growing Machine Learning and Artificial Intelligence Engineering group are currently looking for a new Machine Learning Engineer to help with the development of a number of different ML/AI projects for the Medical Devices and Scientific sectors. We are looking for someone with a few years experience working in Machine Learning or Artificial Intelligence that has applied your work to real world environments and improved systems in the Medical Devices or Scientific fields. You will hold a degree from a leading university in Computer Science, Machine Learning, Artificial Intelligence or another subject that covered ML or AI projects. You’ll mainly be programming in Python, C++ and R, so past experience of this would be useful. It would be highly advantageous if you’ve worked on deep learning frameworks, due to the latest projects that will need your attention. If you have Deep Learning knowledge please make it clear in your CV. This company is offering an excellent starting salary and some excellent benefits that include, but not limited to, pension, free lunch and snacks, annual bonuses, life assurance, private medical insurance, company share scheme and many more. This is a growing sector so I’m expecting a lot of interest, so if you are interested, I’d suggest making an application now so you don’t miss out. For more information, please feel free to call Andrew Welsh, Director of Medical Devices recruitment and Scientific recruitment specialists Newton Colmore, on +44 121 268 2240 or make an application and one of our team at Newton Colmore will contact you. Newton Colmore is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.  

Data Analyst 6 month FTCLocation: London Salary: DUE Salary band: Dependant upon experience Contract type: Permanent Date posted: 30/07/26Data Analyst 6 month FTCBlue Legal are partnering with a renowned global law firm, recognised for its innovative approach and exceptional service. Our client offers a collaborative and inclusive environment, with opportunities for growth in a forward-thinking organisation. As a Data Analyst in the Business Development team, you’ll be responsible for managing and analysing data, automating reports and providing insights that drive strategic decision-making. Your work will support key business initiatives and contribute to the firm’s growth.The Responsibilities:The candidate will be responsible for gathering, organising, and managing data from multiple sources to ensure its accuracy and reliability for analysis.They will collaborate closely with the operations and planning team to understand the requirements for data analytics and process mapping.The role involves analysing data to identify trends, insights, and opportunities for quick wins that can drive action within the function.The candidate will work with internal teams to identify data sources, define the steps for reporting, and design scalable solutions for automating reports.They will collaborate with Data Visualisation Designers and Analysts to ensure that the data and reporting requirements are clearly defined for development.Part of the role includes sharing the outputs of their analysis with relevant stakeholders, incorporating feedback, and refining the analysis as needed.The individual will stay updated with the latest trends, tools, and methodologies in data analytics, continually seeking to improve the quality and impact of their work.Maintaining data integrity and adhering to data governance standards is essential, as is ensuring that all processes follow best practices for accuracy and reliability.The Candidate:The ideal candidate should have solid experience in collecting, cleaning, and managing data from various diverse sources, ensuring it is both accurate and reliable.They should have a strong background in data and reporting workflow process mapping, including the ability to perform detailed data forensics when needed.The candidate must be comfortable working with both structured and unstructured data and have the ability to handle complex datasets effectively.The individual should have demonstrated experience in collaborating with cross-functional teams to define data needs, reporting processes, and automation steps for scalable reporting.Familiarity with data visualisation principles is important, and experience working alongside dashboard developers or data designers is a plus.A strong proficiency in data analysis tools and techniques, such as Excel, SQL, Python, R, Power BI, or Tableau, is essential.Please e-mail your CV and covering letter in the strictest confidence to gavin.coleman@bluelegal.comOnce you have sent your CV, feel free to telephone me on 0207 118 3003.Please note: Due to the specific sectors we work in, only candidates with valid work experience in a Law Firm, Accountancy Firm, Management Consultancy, Property/Construction Firm, Financial Services Firm or a high profile relevant Association or Agency will be considered. We regret that our clients will not accept applications outside of these areas.Blue Legal offers the services of an employment agency for permanent work and an employment business for temporary work.For more positions like these, check out our website at www.bluelegal.com or follow us on Twitter for the widest range of roles across the entire professional services sector @bluelegalrecApply Now Email to a friend

Job descriptionABOUT THE JOBSupport and maintain monthly ETL processes for actuarial data workflows.Provide technical support for Actuarial and Reinsurance teams.Develop, modify, and maintain stored procedures, SQL scripts, and SSIS packages.Investigate and resolve data quality and consistency issues.Perform technical troubleshooting and root cause analysis for data-related problems.Assist in developing and maintaining data pipelines and integration workflows.Prepare and maintain technical documentation for data processes and systems.Collaborate with stakeholders to understand business requirements and translate them into technical solutions.Contribute to process improvements and knowledge sharing within the team.ABOUT YOU0–3 years of experience in Data Engineering, Data Analytics, or a related field.Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services.Proficiency in T-SQL / SQL, with experience in Spark and Python.Strong understanding of Microsoft SQL Server (MSSQL) and Azure Blob Storage.Growth mindset with a proactive and solution-oriented attitude.Ability to work independently and collaboratively in a team environment.Strong communication skills in English and Thai, both written and spoken.Nice to haveKnowledge of the insurance industry, particularly Actuarial or Reinsurance domains.Familiarity with WTW Unify or IBM DB2 (AS400) environments.WHY AMARIS?At Amaris Consulting, we believe in creating a thriving, positive workplace where every team member can grow, connect, and make a real impact. Here’s what you can expect when you join our dynamic community:Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.Trust and Growth: With 70% of our leaders starting at entry-level, we’re committed to nurturing talent and empowering you to reach new heights.Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.Equal opportunityAmaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.Who are we?Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.We look forward to meeting you!

About The Company Our client is a global fintech company, with offices in NYC, London, Paris, and Singapore. Rapidly growing, they are the leading crypto market data provider for financial institutions and enterprises in the digital asset space. Our client is a team of +80 (and growing) passionate individuals with a deep interest in building data solutions and supporting the growth of the digital finance economy. About The Role The Challenge: You will be joining a fast-paced engineering team made up of people with significant experience working with terabytes of data. They believe that everybody has something to bring to the table, and therefore put collaborative effort and team-work above all else (and not just from an engineering perspective). You will be able to work autonomously as an equally trusted member of the team, and participate in efforts such as: ● Addressing high availability problems: cross-region data replication, disaster recovery, etc. ● Addressing “big data” problems: 200+ millions of messages/day, 160B data points since 2010 ● Improving our development workflow, continuous integration, continuous delivery and in a broader sense our team practices ● Expanding our platform’s observability through monitoring, logging, alerting and tracing What you’ll be doing: ● Design, develop and deploy scalable and observable backend microservices ● Reflect on our storage, querying and aggregation capabilities, as well as the technologies required to meet our objectives ● Work hand-in-hand with the business team on developing new features, addressing issues and extending the platform Tech Stack: Golang, Kafka, Redis, Clickhouse, Postgres, Nomad, Terraform and Vault. About You: ● Significant experience as a Software/Data/DevOps Engineer ● Knowledgeable about data ingestion pipelines and massive data querying ● Worked with, in no particular order: microservices architecture, infrastructure as a code, self-managed services (eg. deploy and maintain our own databases), distributed services, server-side development, etc ● Two years of experience within Blockchain or Cryptocurrency The most important skills for us revolve around two things: ● What we like to call “core” knowledge: what’s a software process, how does it interact with a machine’s or the network’s resources, what kind of constraints can we expect for certain workloads, etc ● How fast you can adapt to a technology you didn’t know existed 10 minutes ago In short, we are looking for someone able to spot early on that spending 10 days to migrate data to a more efficient schema is the better solution compared to scaling out a database cluster in a matter of minutes if we are looking to improve performance in the long term. Nice to have ● Experience with data scraping over HTTP, WebSocket, and/or FIX Protocol ● Experience developing financial product methodologies for indices, reference rates, and exchange rates ● Knowledgeable about the technicalities of financial market data, such as the difference between: calls, puts, straddles, different types of bonds, swaps, CFD, CDS, options, futures, etc Personal Skills ● Honest: receiving and giving feedback is very important to you ● Humble: making new errors is an essential part of your journey ● Empathetic: you feel a sense of responsibility for all the team’s endeavors rather than focus on individual contributions ● Committed: as an equally important member of the team, you want to make yourself heard while respecting everybody’s point of view ● Fluent in written and spoken English ● You have the utmost respect for legacy code and infrastructure, with some occasional and perfectly understandable respectful complaints

As Senior Data Engineer, you will be responsible for developing and maintaining data platforms and delivering with our team of Data Engineers through challenges. This key role embraces participating in the entire engineering lifecycle and ensuring successful data platform implementation. The ideal candidate will build and design data platform frameworks and data pipelines, act as a trusted advisor for Databricks and Airflow technology for clients, and enhance process effectiveness. A data engineer collaborates with the project team on project delivery and standards, with expertise in data warehouse and lakehouse development for large-scale customers. Essential skills include communication, collaboration, problem-solving, a data-driven mindset, and a passion for automation. What makes you a great fit? Key technologies Databricks | Data Platforms | SQL | Python | CI/CD | Azure | Data Services | ETL 5+ years of experience in configuration/release management, deployment, and maintenance and familiarity with various data platforms and practices in the data area Strong, hands-on experience in the Databricks ecosystem is a must. Very good coding skills with knowledge of best practices in SQL, Python Experience with Git-based repositories (Bitbucket, GitHub, GitLab) Familiarity with tools like Spark, Hadoop, Azure Data Factory, Apache Kafka/Event Hub, Airflow, dbt, or other data platform tools. Conceptual and technical knowledge on CI/CD pipelines, automation practices, and technical operations monitoring Strong sense of ownership, flexibility, and independence Nice to have Hands-on experience of automated testing frameworks (Greater Expectations, customer-made, etc.) Familiarity with Oracle or Apache ecosystem Soft skills Analytical ThinkingAbility to interpret data, identify trends, and provide actionable insights to drive business decisions. Problem-Solving SkillsProactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy. Effective CommunicationAbility to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration. Attention to DetailMeticulous in data validation, report generation, and ensuring data quality across BI platforms. Team CollaborationStrong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders. Adaptability and Continuous LearningOpen to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs. What will you do? Design and build cloud-based data platform frameworks and architectures. Integrate data from various structured and unstructured sources and formats. Implement automation for data workflows and support CI/CD processes. Optimize performance and resource usage of cloud data solutions. Maintain up-to-date knowledge of new technologies in data and cloud engineering. Monitoring, troubleshooting, and optimizing data systems for performance and cost. Supporting deployment of analytics and machine learning solutions on cloud platforms. Documenting processes, infrastructure, and best practices for future scalability Our benefits Your journey with us starts here: 1. Initial Screening: If you meet our requirements, our recruiter will reach out to you for a chat about your motivations and expectations. Get ready to share your passion! 2. Technical Interview: Next, you'll be invited to showcase your skills in an interview with one of our technical experts or team members. This is your chance to shine and demonstrate your expertise. 3. Final Interview: Finally, you'll have the opportunity to meet your future Team Lead. This is the perfect moment to learn more about the role, the team, and to ask any questions you might have.

Role Title: Technical Data AnalystDuration: contract to run until 30/11/2026Location: Sheffield, Hybrid 3 days per week onsiteRate: up to £400.20 p/d Umbrella inside IR35 Role purpose / summary This role is critical to ensure successful delivery of the ongoing Controls Transformation Projects within CTO. Given the wide range of automation and tooling development activities being carried out, this role will ensure requirements are accurately gathered and documented for clear articulation of the timelines and efforts, which will enable us to achieve the delivery milestones. The Opportunity: The Data Analyst will collect, interpret and visualize complex data sets to provide actionable business insights. Identifying trends, patterns, and correlations to aid decision-making. It will also include retrospective documentation of existing data flows in order to provide transparent and easily consumable documentation / artefacts. Key Responsibilities Data Collection: Gathering data from various sources and ensuring data integrity (often 60-70% of the role).Analysis & Modelling: Utilizing statistical methods to interpret data sets and identify trends, patterns, or anomalies.Reporting & Visualization: Where necessary supporting the development of automating reports and interactive dashboards (e.g., Tableau, Power BI), including validation of output.Stakeholder Collaboration: Communicating technical findings to non-technical audiences to support strategic decision-making.Database Management: Querying databases using SQL and optimizing data collection processes. What you will need to succeed in the role: Technical Skills: Proficiency in SQL and Excel is essential; knowledge of R, Python, or specialized BI tools is highly preferred.Analytical Thinking: Strong problem-solving skills to understand the ""why"" behind the data.Mathematics & Statistics: Solid understanding of statistical analysis.Communication: Ability to present data insights clearly to stakeholders. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!