Oferty pracy Data Engineer i Data Science — 1,371+ Ofert

Are you a data scientist with a passion for analytical depth, scientific curiosity, and clear communication? Looking to guide customers in leveraging advanced AI-driven digital twins for bioprocess optimization? Proclinical is seeking a highly motivated and scientifically minded Solution Data Scientist to join our customer-facing data science team. In this role, you will manage customer projects end-to-end: From data intake and preprocessing to building hybrid models using our proprietary technology and delivering scientifically sound and actionable insights to our clients. You will act as the technical bridge between our customers and our modeling platform-capable of understanding biological processes, interpreting model results, and communicating them in a clear, impactful, and business-relevant way. Responsibilities: Customer Project Execution Lead and manage customer modeling projects from data acquisition to result delivery. Build, calibrate, and validate hybrid models combining mechanistic and AI-based approaches. Translate biological and process data into predictive models of cell culture behavior. Data Science and Modeling Apply statistical modeling, machine learning, and hybrid modeling techniques to bioprocess data. Design and execute virtual experiments to predict and optimize process performance. Ensure scientific rigor, reproducibility, and documentation quality throughout the modeling process. Customer Engagement and Communication Communicate results and insights effectively to both scientific and non-technical audiences. Collaborate with customers to define modeling goals, interpret outcomes, and identify opportunities for further value creation. Serve as a trusted advisor and key technical contact during and after project execution. Cross-Functional Collaboration Work closely with application scientists, ML engineers, and product teams to enhance our modeling workflows. Contribute to the continuous improvement of internal tools, best practices, and modeling frameworks. Key Skills and Requirements: MSc or PhD in Data Science, Systems Biology, Bioprocess Engineering, Computational Biology, or related field. Prior experience in a customer-facing data science or scientific consulting role. Experience with hybrid or mechanistic modeling of biological systems. Familiarity with biopharmaceutical development or process modeling workflows. Strong background in data science, applied mathematics, or computational biology. Proficiency in Python and relevant data science/ML libraries (NumPy, Pandas, SciPy, PyTorch, JAX, Scikit-learn). Understanding of mechanistic modeling concepts (ODEs, kinetic models, or hybrid modeling approaches). Familiarity with bioprocess or omics data is highly desirable. Profound experience in data visualization, model validation, and result presentation. Working knowledge of cloud environments (Azure, AWS, or GCP) is a plus. Outstanding communication skills, capable of conveying complex modeling concepts to executive stakeholders and cross-functional teams. Strategic thinking with a proven ability to align technical initiatives with business objectives. Leadership and mentoring abilities to inspire and grow technical teams. High-level problem-solving mindset and passion for innovation in biopharma digitalization. If you are having difficulty in applying or if you have any questions, please contact Thomas Wenig at t.wenig@proclinical.com. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - https://www.proclinical.com/privacy-policy.

Founded in 2010 by a technical leader, our client fosters a unique blend of collaborative spirit and professional excellence in IT consulting. Their laid-back, supportive environment encourages continuous learning with certification bonuses and flexible schedules. They demonstrate their commitment to employee well-being with industry-leading salaries, comprehensive benefits (10% 401k match, fully-paid medical, 6 weeks PTO), and a strong focus on work-life balance. With a portfolio of over 30 contracts across Maryland and Virginia, they offer the stability of large firms while retaining a close-knit, small-company feel. If you're a passionate tech professional seeking growth within a thriving team, this could be your perfect fit.<br /> <br /> They are seeking a Data Scientist to join their team. <br /> <br /> Relevant qualifications:<br /> -Bachelor's Degree <br /> -Experience with Python<br /> -Experience with R<br /> -Experience with machine learning<br /> -Experience with SQL<br /> -Experience with Big Data tools<br /> <br /> Desired:<br /> -Experience with cloud platforms<br /> -Experience with NLP<br /> <br /> The work is located in Tysons, VA and requires a TS/SCI + FS Poly.

Our client thrives on unconventional solutions to real-world problems, using massive datasets and open-ended exploration like a research lab. More than technical whizzes, their team values creativity, engagement, and understanding your organization. They prioritize attracting and developing highly-skilled minds. With many holding advanced degrees, they foster a culture of continuous learning and encourage pushing boundaries, staying at the forefront of their field. With competitive benefits, a vibrant culture, and multiple locations, they're ideal for passionate data scientists seeking to collaborate with the best. They don't just analyze, they predict the future - if you want to push boundaries and make a real impact, this might be your perfect match. They are seeking a Data Scientist to join their team.  Relevant qualifications: -Master's Degree or PhD in Data Science, Statistics, Computer Science or similar -6+ years of experience -3+ years of experience with machine learning -Knowledge of data mining, databases, and data visualization -Ability to create data-driven solutions, data models, and visualizations Preferred: -Experience with Databricks -Experience with Python and PySpark -ETL experience -Experience with SQL The work is located in Arlington, VA and requires a TS/SCI

Lead AI Engineer London, Hybrid (2 to 3 days per week on site) Salary between £90,000 - £110,000 plus benefits This is an opportunity to join a high‑growth consultancy delivering complex, production‑ready AI systems for large enterprise clients. You will take a leading technical role in shaping high‑impact solutions, working within a collaborative engineering team and a culture that prioritises learning and technical excellence. The Company They are a specialist Data and AI consultancy operating across the UK and internationally. Their work focuses on large scale AI, software and platform engineering programmes for major organisations in sectors including financial services, energy, healthcare and life sciences. Projects are high complexity and involve building systems that are deployed across entire businesses. They maintain a tech agnostic approach and support continuous development through structured learning initiatives and dedicated training budgets. The Role Act as the technical lead on AI engineering projects, guiding design and implementation. Work hands on across data, software and platform components to deliver production‑ready solutions. Engage directly with enterprise clients to shape technical direction and ensure successful delivery. Collaborate with Senior and Principal Engineers within cross‑functional squads. Contribute to engineering best practices and support high quality technical decision making. Your Skills and Experience Strong commercial experience building and deploying AI or machine learning systems in production. Expertise in Python and modern engineering practices. Experience leading technical delivery within consultancy or large complex environments. Ability to communicate effectively with technical and non‑technical stakeholders. Comfort operating in fast‑paced, multi‑project settings. What They Offer Salary between £90,000 - £110,000 depending on capability. Hybrid working with a central London office. Occasional travel to client sites when required. Strong learning and development culture, including structured forums and dedicated annual budgets. Opportunity to lead high impact projects and progress towards Principal level.

For our client - a fast-growing AI-driven fitness and wellness product - we are looking for an AI Engineer who will design and build intelligent AI coaching systems that plan, adapt, and personalise workouts in real time. You will develop AI agents and recommendation engines that combine structured user data, health signals, and fitness science principles to deliver safe, effective, and highly personalised training experiences. This includes building multi-step reasoning pipelines, retrieval systems, evaluation frameworks, monitoring, and guardrails, ensuring an AI coach performs reliably in production and continuously improves over time. Responsibilities: Building AI agents that plan workouts, adapt in real time, and coach users - including tool use, multi-step reasoning, memory management, and context pipelines Building and improving recommendation systems - exercise selection, weight recommendations, intensity scaling - using structured user data Integrating health and recovery signals (Apple Health, body scans, fitness tests) into the coach's decision-making process Working with the Fitness Science team to define what "good" looks like for subjective tasks - such as whether a workout fits a user's age, injury history, and goals - then building the evaluation frameworks that enforce those standards end-to-end Analysing where agents fail, identifying patterns in those failures, and addressing the ones that matter most Designing monitoring and guardrails so agents don't fail silently in production Strong Python skills Solid software engineering fundamentals - you ship production code, not just prototypes Experience building AI agents - tool orchestration, multi-step workflows, context management, retrieval systems Experience building recommendation or scoring systems on structured data - collaborative filtering, calibration, rule-based systems, or hybrid approaches Strong analytical instincts - you can define what "correct" means for a subjective recommendation, design metrics that reflect user experience, and spot when a metric is lying to you You've fine-tuned or distilled language models to hit cost and latency targets You know how to make retrieval work - embeddings, vector search, and semantic similarity Experience with classification and regression on structured data - user health signals are messy and continuous Ready to learn a new domain deeply - you'll pick up exercise physiology, recovery science, and training principles on the job Experience building multi-agent systems Background in health, fitness, or wellness Experience with active learning or human-in-the-loop workflows Experience with time-series analysis or forecasting (fitness data is mostly sequences over time) Background in ML ops - model versioning, serving infrastructure, pipeline orchestration Work on a fast-growing AI-driven fitness and lifestyle product AI and LLMs are core not only to the product, but also to day-to-day engineering work Unique intersection of B2C scale and large B2B partnerships Growth comes from tackling complex technical challenges, deep ownership, and broad influence Small, people-oriented team with a strong engineering culture We look forward to receiving your CV and learning more about your experience! Dear Candidates, due to a high volume of applications, only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us! Work type Full-time Location Remote

As a Senior Analyst on the Differentiated Services Insights team, you will lead high-impact program analytics that drive personalized and differentiated customer experiences across digital and offline touchpoints, including our Design Service, Registry, CBCC, Trade, B2B and Mover programs. This strategic role leverages advanced analytics, web and digital journey analysis, and experimentation to deliver actionable insights on customer behavior, engagement, and loyalty, resulting in strategic recommendations. This position is fully remoteThis role is an Individual Contributor position A day in the life as a Senior Data Analyst, Growth Program Insights…Lead analysis of customer segments, digital behaviors, and web/app conversion funnels to identify opportunities for personalization and premium experiencesDeliver strategic recommendations to optimize digital touchpoints and address drop-offs and optimization opportunitiesUtilize tools like Adobe Analytics or Google Analytics for deep-dive investigationsDesign and execute A/B tests and experiments, applying statistical methods to rigorously measure impact, ROI, and liftDefine success metrics and track impact across key business outcomes, including engagement, conversion, retention, and Customer Lifetime ValueOwn the end-to-end analytics lifecycle, including structuring ambiguous problems and translating complex findings into executive-ready insightsCollaborate with product, marketing, CRM, and digital teams to influence strategic roadmaps and executionMaintain technical proficiency by writing advanced SQL queries and utilizing Python or R for deep analysisPartner with data engineering teams to ensure data quality and integrityWhat you’ll bring to the table…  Advanced SQL proficiency for complex data querying, transformation, and optimizationExperience in using Adobe Analytics or Google Analytics to analyze user digital journeyExpertise in data visualization tools (Tableau, Power BI, Looker) for developing dashboards and communicating insightsStrong knowledge of statistical analysis methods, including hypothesis testing, regression analysis, and experimental designExperience in analyzing large customer datasets and identifying meaningful patternsProficiency with Python or R for data mining, feature engineering, or statistical modelingStrong data storytelling and communication skills with the ability to translate complex insights into clear business recommendationsAbility to connect analytical findings to business performance and strategic decisionsWe’d love to hear from you if you have…  5+ years of experience in a hands-on data analyst or growth analytics roleBachelor’s degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related quantitative field (or equivalent practical experience). Proven experience delivering complex data analysis projects in an agile or collaborative environmentStrong proficiency in Python or R for advanced data analysis and modelingExperience working with large-scale customer, transactional, or behavioral datasets

About Coderio   Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-oriented mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, building technology that creates real impact. 🌍 More information: http://coderio.com   We are seeking a high-caliber Data Scientist to operate at the intersection of advanced research and high-performance database engineering within the medical imaging domain. This role combines sophisticated algorithmic development with hands-on ownership of large-scale DICOM data management, ensuring production systems remain performant under complex medical research workloads.   What You Can Expect (Responsibilities)   Design, optimize, and execute complex queries on large-scale medical databases while safeguarding system performance Collaborate with PhD-level researchers to translate high-level research goals into scalable data pipelines Process, structure, and prepare DICOM medical imaging data for research-ready AI applications Balance algorithmic development with production-grade data cleaning and structuring Own query timing and execution strategies to maintain system stability in production environments Proactively identify and prevent performance bottlenecks across the data infrastructure   Requirements   3+ years of production experience with Python 3+ years of hands-on experience with Jupyter Notebooks, Google Colab, and R Strong Database Administration expertise, including query optimization, indexing, and performance tuning Solid understanding of system latency and the impact of heavy queries in production environments Technical level comparable to a Master’s or PhD in Data Science or Computer Science Strong communication skills and systems thinking, with a production-focused mindset Advanced English Resides in Latam   Nice to Have   Experience developing AI algorithms, particularly in segmentation tasks Familiarity with DICOM standards and medical research data workflows Experience working with cloud-based data warehouses or large-scale medical data storage systems   Benefits   100% remote Long-term commitment with autonomy and impact Strategic, high-visibility role within a modern engineering culture Collaborative international team and strong technical leadership Career development and growth opportunities within Coderio   Why Join Coderio?   At Coderio, we value talent regardless of location. We are a remote-first company, passionate about technology, collaboration, and fair compensation. We provide an inclusive and challenging environment with real opportunities for growth. If building impactful solutions motivates you, we’re waiting for you. Apply now.

Job Details: Job Description: About Altera At Altera™, our independence as the world’s largest pure‑play FPGA solutions provider gives us the focus, speed, and agility to innovate without compromise. With more than four decades of industry‑leading FPGA expertise, our singular mission is to deliver the programmable technologies that help customers differentiate, innovate, and scale across rapidly evolving markets like AI, cloud, networking, and edge. As an independent company, we move faster, invest deeper, and partner more closely—empowering our teams to drive breakthrough innovation and shape the future of the FPGA industry. About the Role Altera is seeking a passionate and driven GenAI / Machine Learning Intern - Design Automation (AI Agents) to join our Design Automation team. You must be actively enrolled in school and pursuing a Bachelor's degree in the required fields to be eligible for this internship. This role is ideal for someone who thrives at the intersection of data engineering, machine learning, process automation, and agentic AI. You will help build end‑to‑end GenAI systems that leverage both structured and unstructured engineering data to streamline workflows and enhance productivity across engineering teams. Key Responsibilities Design and implement GenAI/ML pipelines to support physical design workflows. Develop ETL processes to extract, transform, validate, and join data from diverse sources (structured + unstructured). Create AI agents that can reason over engineering context and take actions across tools/workflows (e.g., triage logs, summarize run results, propose fixes, generate reports, automate repetitive flows). Implement agent tool-use patterns (retrieval, function calling, workflow orchestration) with guardrails and observability. Automate repetitive engineering tasks by observing workflows and identifying optimization opportunities. Collaborate with cross‑functional teams (design, verification, software) to understand data needs and integration points. Build and test prototypes/tools that demonstrate measurable value (cycle-time reduction, fewer manual steps, improved signal-to-noise). Document processes, evaluation methods, and best practices; contribute to knowledge sharing across teams. What We Value Engineering excellence and continuous improvement mindset. Passion for automation and applying AI to real-world engineering problems. Initiative to observe, learn, and propose impactful solutions. Ability to execute in a lean, collaborative environment. Salary Range The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. $80,000 - $90,000 USD (hourly equivalent) We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations. Qualifications: Minimum Qualifications Must be currently pursuing a Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. 3+ months of experience or coursework with data engineering concepts, including ETL, data wrangling, and data integration; familiarity working with SQL, CSV, logs, text, and XML data formats. 3+ months of experience or coursework in Python programming and working with machine learning frameworks such as PyTorch or TensorFlow. Preferred Qualifications 3+ months of experience or exposure to AI agent frameworks and tools (e.g., LangChain/LangGraph, Semantic Kernel, Hugging Face agents, OpenAI function calling patterns) and retrieval-augmented generation (RAG) concepts, including vector search, embeddings, chunking, and evaluation. 3+ months of experience applying agent reliability concepts, including prompt and tool design, grounding, guardrails, evaluation, and monitoring. 3+ months of experience demonstrating strong analytical and problem-solving skills with an engineering mindset. 3+ months of experience collaborating in team environments, with strong written and verbal communication skills. Job Type: Student / Intern (Fixed Term) Shift: Shift 1 (United States of America) Primary Location: San Jose, California, United States Additional Locations: Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. About Altera Altera: Accelerating Innovators Altera provides leadership programmable solutions that are easy-to-use and deploy in applications from cloud to edge, offering limitless AI possibilities. Our end-to-end broad portfolio of products including FPGAs, CPLDs, Intellectual Property, development tools, System on Modules, SmartNICs and IPUs provide the flexibility to accelerate innovation. Altera is helping to shape the future through pioneering innovation that unlocks extraordinary possibilities for everyone on the planet. Don't see the dream job you are looking for? Click "Get Started" below to drop off your contact information and resume and we will reach out to you if we find the perfect fit.

Job Description About Constellation Brands If you have taken a moment to toast with a glass of wine, celebrate with a cocktail, or relax with a bottle of beer, chances are that you’ve shared that moment with us. For more than 75 years, we’ve led the beer, wine, and spirits industry by building admired brands that delight our consumers. Our portfolio balances iconic brands, such as Corona and Modelo, with exciting gems, such as Prisoner Wine Company and High West. About the Position The Data Scientist is responsible for analyzing complex datasets to identify insights, develop predictive models, and implement machine learning algorithms that drive strategic decision-making. With 2-8 years of experience, candidates should have proficiency in Python, R, SQL, and experience with data visualization tools and cloud technologies. This role requires an ability to work independently on projects, collaborate with cross-functional teams, and effectively communicate findings to stakeholders. The Data Scientist will contribute to various phases of the data science lifecycle, from data preparation to model deployment, ensuring the delivery of impactful data-driven solutions. This role is on a data science team which focuses on understanding consumer behavior, consumption trends, drivers to growth, and the impacts of macroeconomics, marketing, and price on our brands. Responsibilities Works independently on assigned projects, delivering insights and solutions that meet internal customer needs. Participates in technical strategy and provides insights into problem-solving efforts using statistical analysis and machine learning models. Assists in engaging with stakeholders under guidance, helping to understand their key challenges, and collaboratively working towards data-driven solutions. Presents analytical and model results in a clear and effective manner, enabling stakeholders to make informed decisions, with the ability to tailor communications to varying levels of technical understanding. Executes on technical tasks and projects with minimal oversight. Conducts exploratory data analytics to understand new and existing datasets. Engages in feature engineering and applies multiple modeling techniques to address business problems, demonstrating an ability to choose the appropriate model based on the problem at hand. Takes ownership of assigned tasks ensuring accuracy and timely delivery. Seeks to understand internal customer needs and technical requirements. Collaborates effectively with team members and participates in cross-functional interactions. Shares knowledge and best practices with peers. Contributes positively to the team environment and engages in continuous learning. Domain Expertise: Bachelor’s or Master's degree (Master's preferred) in Statistics, Computer Science, Mathematics, Science, or a related field with 2-8 years of relevant experience Proficient with Python, R, SQL, and GitHub, with a track record of manipulating data for analytics. Demonstrated experience in statistical analysis, machine learning models, and data visualization using tools like Matplotlib, ggplot, Tableau, or PowerBI. About the Employee Experience Product Allowance so you can kick back and relax with Constellation’s awesome products. Summer hours where we have half days on Fridays Tuition Reimbursement up to $10,000/year so you can continue feeding your brain Ongoing learning opportunities, development experiences, and mentorship programs Occasional team building meetups 160 hours of PTO with 13 paid holidays Life/Work Balance? We're all about it. We offer much more than just health care benefits. Our innovative programs and resources are designed to support physical, mental, and emotional well-being for you and your family. Physical Requirements/Work Environment Sitting, working at desk/personal computer for extended periods of time Must be at least 21 years of age #LI-DNI Location Rochester, New York Additional Locations Job Type Full time Job Area Information Technology The salary range for this role is: $86,600.00 - $132,700.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. Our compensation is based on cost of labor. For remote locations or positions open to multiple locations, the pay range may reflect several US geographic markets, including the lowest geographic market minimum to the highest geographic market maximum. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, the prevailing minimum wage for the location, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. At Constellation Brands, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Equal Opportunity Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations). Constellation Brands (NYSE: STZ) is a leading international producer and marketer of beer, wine, and spirits with operations in the U.S., Mexico, New Zealand, and Italy. Our mission is to build brands that people love because we believe elevating human connections is Worth Reaching For. It’s worth our dedication, hard work, and calculated risks to anticipate market trends and deliver more for our consumers, shareholders, employees, and industry. This dedication is what has driven us to become one of the fastest-growing, large CPG companies in the U.S. at retail, and it drives our pursuit to deliver what’s next. Every day, people reach for our high-end, iconic imported beer brands such as those in the Corona brand family like the flagship Corona Extra, Modelo Especial and the flavorful lineup of Modelo Cheladas, Pacifico, and Victoria; our fine wine and craft spirits brands, including The Prisoner Wine Company, Robert Mondavi Winery, Casa Noble Tequila, and High West Whiskey; and our premium wine brands such as Kim Crawford. As an agriculture-based company, we have a long history of operating sustainably and responsibly. Our ESG strategy is embedded into our business and our work focuses on serving as good stewards of the environment, enhancing social equity within our industry and communities, and promoting responsible beverage alcohol consumption. These commitments ground our aspirations beyond driving the bottom line as we work to create a future that is truly Worth Reaching For. To learn more, visit www.cbrands.com and follow us on Twitter, Instagram, and LinkedIn. Our company participates in the E-Verify program to confirm the employment eligibility of all new hires. For more information, please refer to the required postings linked here: https://docs.cbrands.com/everify/E-Verify_Participation_Poster_Eng_Es.pdf https://docs.cbrands.com/everify/IER_RightToWorkPoster_Eng_Es.pdf

Senior/Staff Data Analyst Location: Other, Central Europe Seniority: Senior Technologies: Data, Product/Analyst We are looking for a Data Analyst to help ensure the quality and reliability of data used across our client’s data platform.Our partner is a leading European online fashion & beauty retailer that uses modern data technologies to power personalized shopping experiences and data-driven decision-making.In this role, you will work with Databricks and analytical tools to compare existing and new data streams, identify discrepancies, investigate data quality issues, and support the reliability of key business metrics. You will collaborate with data engineers and platform teams to troubleshoot issues, track improvements, and present insights to stakeholders in a clear and understandable way.And then there's Zoolatech! Just imagine a workplace and a team environment that you never want to leave once you have found it. Sound enticing? Apply to our position today and we can get you there.Build required Databricks notebooks/visualisations to compare existing streams and new streams as defined in Data Comparison Playbook. Schedule them so they can run daily and present fresh data every morning.Troubleshoot and identify the root cause for missing data and volume discrepanciesOpen data quality issues to respective teams and follow up the fixesReport data quality improvements and current comparisons in an understandable format to all stakeholders and leadership.8+ years of commercial experienceStrong SQL skills and experience working with large datasetsExperience with DatabricksSolid analytical and problem-solving skills with the ability to investigate data discrepanciesExperience with data quality checks, data validation, or data comparisonAbility to work with data pipelines and event-based data streamsExperience creating dashboards or data visualizations (Looker, Tableau, Power BI, or similar)Ability to communicate findings clearly to technical and non-technical stakeholdersAttention to detail and a proactive approach to troubleshooting data issues Discover what it’s like to work with us These might interest you Join Our Team!

AI Engineer Date:  Mar 20, 2026 Location:  Kraków, PL, 30-302 Working place:  Hybrid Location: Kraków Type of contract: Employment contract Salary range: 15 870–24 330 PLN gross/m   What will you do?   You will join a team of engineers developing cutting‑edge AI and Machine Learning solutions within the Credit & Lending domain in an international banking environment. The project focuses on leveraging state‑of‑the‑art AI technologies to build scalable systems that support business processes, data‑driven decision‑making, and operational efficiency. You will work across the full lifecycle of AI/ML development—from discovery and prototyping, through model and system design, to production deployment and maintenance—using LLMs, RAG, modern data platforms, containerized environments, and cloud‑native solutions in Azure or GCP.   Your tasks   LLM engineering and RAG development Designing, testing, and optimizing prompts for LLM‑based applications Developing and integrating RAG systems and vector search solutions Implementing responsible AI/ML solutions with fairness, transparency, and accountability Designing and building scalable architectures leveraging LLMs and ML Deploying AI systems using Azure or GCP with containerization and Kubernetes Building applications following engineering best practices and clean code principles Conducting data exploration, preparation, and modeling Collaborating with domain experts on data pipelines and domain‑specific datasets Applying deep learning and NLP techniques to business problems Working closely with engineering, product, and business stakeholders Presenting technical solutions, constraints, risks, and recommendations Participating in the full AI product lifecycle from idea to production   Your skills   Python (3+ years); Java is a plus Experience with LangChain, FastAPI, Data containers, Spring Knowledge of microservices architecture, observability, monitoring, API design, concurrency models Hands‑on experience with Azure or GCP, containers, Kubernetes, CI/CD (Jenkins, Azure DevOps, GCP Cloud Build) Practical experience with TDD/BDD Strong understanding of LLM architectures and domain‑specific data modeling Experience with RAG, prompt engineering, agentic architectures, deep learning, NLP, ML lifecycle Ability to design, develop, and scale AI‑driven systems Strong software engineering fundamentals and problem‑solving skills Ability to experiment quickly and iterate toward production‑quality solutions Strong communication and presentation skills in English Ability to explain technical solutions and business implications clearly Comfort working with cross‑functional and multicultural teams   We offer   Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office days per week) Working in a highly experienced and dedicated team Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.) Online training and certifications Access to e‑learning platform Mindgram wellbeing platform Work From Anywhere (up to 140 days/year abroad) Social events

Applied AI Engineer - AI Product Deployment | High-Growth Tech Company London - Hybrid - 3 days a week in the officeUp to £125,000 per annum plus bonus and stock Applied AI Engineer - We're working with a fast-scaling, venture-backed AI and technology business that partners with leading organisations to embed AI capability into the workforce at scale. Their products are already used by thousands of learners and enterprises, and they're now doubling down on operationalising AI in production. They're hiring an Applied AI Engineer to focus on deploying, integrating, and scaling AI and LLM-powered systems inside real products. This is not a research or pure model-development role - it's for engineers who enjoy taking models that already exist and making them reliable, observable, and valuable in the real world. The role The Applied AI Engineer will join a brand new team, sitting at the intersection of product engineering, AI and platform engineering. You'll work closely with Product, Design and Data teams to turn AI capabilities into dependable, user-facing features. Key responsibilities include:Deploying and integrating AI models (including LLMs) into production systems and user-facing products.Designing and implementing LLM-powered workflows for use cases such as content generation, semantic search, summarisation, and personalisation.Building APIs, services and pipelines that enable AI features to run at scale, securely and reliably.Owning the end-to-end delivery of AI features: from experimentation and integration through to launch, monitoring, and iteration.Establishing strong MLOps practices, including deployment pipelines, monitoring, evaluation, rollback strategies, and retraining workflows.Measuring feature performance, latency, accuracy, cost, and adoption - and improving based on real usage.Acting as a bridge between technical and non-technical teams, helping others understand what AI can (and can't) do in production. What they're looking forStrong experience deploying machine learning or LLM-based systems into production.Hands-on experience working with LLMs (e.g. GPT, Claude, Gemini), including prompt engineering, orchestration, evaluation and safety considerations.Excellent software engineering skills in Python with experience building APIs and backend services.Practical experience running AI systems on AWS, including CI/CD, model versioning, monitoring, and observability.Familiarity with MLOps concepts such as deployment pipelines, model monitoring and retraining (rather than model research).Experience working with structured and unstructured data in production environments.A product-focused mindset - you care about usability, performance, reliability, and real-world impact.Comfortable collaborating closely with Product, Design and Data teams.Experience with modern AI tooling platforms (e.g. Cursor, Gemini) is a strong advantage. This is a fantastic opportunity for an Applied AI Engineer to join a new team in a high-growth company. Please reply with your CV or call Simon for a chat. Applied AI Engineer - AI Product Deployment | High-Growth Tech Company London - Hybrid - 3 days a week in the officeUp to £125,000 per annum plus bonus and stockBurns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision-making across regions. We are seeking a Data Engineer to execute on the design, delivery and evolution of scalable data engineering capabilities that underpin Data Science, AI and client facing products for all European markets. The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining databases. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Python and SQL and have strong analytical skills related to working with structured and unstructured datasets. Primary Responsibilities: Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions Build and manage large scale ETL processes to generate data assets for the region Build modular and reusable code considering the configurability and scalability while adhering to low-level design Perform thorough unit testing of development tasks and document the test results using standard defined templates Build, schedule, and manage DAGs in Apache Airflow efficiently Monitor data processing tasks using Airflow Ensure quality control of data assets, reconciling data loaded across different stages in the data pipeline Utilize strong data analytics skills to identify, discuss, and promptly fix data issues Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations Collaborate and communicate with stakeholders for requirement understanding and clarifications Maintain the highest level of quality and detail-oriented approach in daily tasks This is a hybrid position. This requires 3 days per week attendance in the office. Qualifikationen Basic Qualifications: 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications: 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 2-4 years development experience in building data pipelines and writing ETL code using Hive, PySpark, SQL and Unix Experience in writing and optimizing SQL queries in a big data environment Experience working in Linux/Unix environment and exposure to command line utilities Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems Exposure to code version control systems (git) Experience working with cloud services (e.g. AWS, GCP, Azure) Strong communication skills Ability to understand business requirements of the broader business Good understanding of agile working practices and related program management skills Good communication and presentation skills with ability to interact with different cross-functional team members at varying levels Advanced degree in technical field (e.g. Computer Science, statistics, etc.) Experience with visualization tools like Tableau and Power BI Exposure to Financial Services or the Payments Industry

Job Title: Senior Data Engineer Location: London (Hybrid – minimum 2 days per week in the office) Day Rate: Market rate (Inside IR35) Contract Duration: 6 months Role Overview We are seeking an experienced Senior Data Engineer to design, develop and maintain scalable data pipelines that ensure high-quality, reliable data is available for business decision-making. You will work closely with data architects, product teams, analysts and data scientists to deliver robust data solutions that power analytics, reporting and advanced data products across our retail organisation. This role requires strong hands-on experience in modern cloud data platforms including Snowflake, DBT and AWS/Azure, alongside expertise in data modelling, ETL/ELT processes and pipeline orchestration. You will also act as a technical mentor within a collaborative and innovative data engineering team. Key Responsibilities Design, develop, optimise and maintain scalable ETL/ELT data pipelines using modern cloud technologies. Monitor, troubleshoot and enhance production data pipelines to ensure performance, reliability and data integrity. Write and optimise complex SQL queries to support high-performance analytics workloads. Implement flexible Data Vault models in Snowflake to support enterprise-scale analytics and business intelligence. Build and maintain scalable cloud-based data solutions using Snowflake, DBT, AWS and/or Azure. Support infrastructure and deployment automation using Terraform and CI/CD platforms. Implement and enforce data quality controls and governance processes to ensure accurate and consistent data flows. Support governance frameworks such as Alation and ensure adherence to regulatory and organisational standards. Provide technical leadership, mentor junior engineers and promote engineering best practice. Collaborate with data scientists to deploy analytical and AI models in production environments. Engage with business and product stakeholders to translate requirements into scalable technical solutions. Contribute to architecture discussions and recommend improvements based on emerging data engineering trends. Essential Skills and Experience Strong experience building and maintaining ETL/ELT pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow. Proven experience designing and implementing data solutions on cloud-based architectures. Experience working with cloud data warehouses and analytics platforms such as Snowflake and AWS or Azure. Proficiency using GitHub for version control, collaboration and release management. Experience implementing data governance frameworks, including data quality management and compliance practices. Advanced SQL skills including complex query writing, optimisation and analytics-focused database design. Strong communication and stakeholder engagement skills, with the ability to present technical concepts clearly. Excellent problem-solving skills and the ability to translate business requirements into technical solutions. Languages: Python (primary), SQL, Bash Cloud: Azure, AWS Tools: Airflow, DBT Data Platforms: Snowflake, Delta Lake, Redis, Azure Data Lake Infrastructure and Operations: Terraform, GitHub Actions, Azure DevOps, Azure Monitor Desirable Skills and Experience Experience with enterprise data platforms such as Snowflake and Azure Data Lake. Understanding of monitoring, model performance tracking and observability best practices. Familiarity with orchestration tools such as Airflow or Azure Data Factory.

Data Engineer – Generative AI Location: Stevenage or Bolton Salary: £45,000 to £55,000 depending on experience Contract: Permanent, Full Time, Hybrid Working Clearance: British citizenship required (SC clearance required) Are you an experienced Data Engineer with a passion for enabling AI innovation? This is an exciting opportunity to join a growing international data and technology function where you'll shape the data foundations behind advanced generative AI capabilities. You will play a key role in evaluating, designing and maintaining high quality data sets for internal teams, ensuring data pipelines are secure, resilient and scalable. This role is ideal for someone who enjoys solving complex data challenges, collaborating with diverse stakeholders and staying at the forefront of emerging technologies. Key Responsibilities Design, build and maintain high performance data pipelines for analytics, AI and operational systems Evaluate, optimise and secure data sets used by internal customers across the organisation Apply best practice in data quality, governance and compliance Develop ETL, API and data exchange solutions to support engineering and business workflows Contribute to the technology roadmap by researching and recommending new tools and approaches Support generative AI, NLP and OCR initiatives through high quality data preparation and engineering Work closely with cross functional teams to ensure datasets are structured, accessible and future proof Skills and Experience Essential: Strong SQL experience such as MS SQL or Oracle Experience with NoSQL technologies such as MongoDB, InfluxDB or Neo4J ETL, ESB, API or similar data integration experience Development experience such as Python Exposure to big data tools or architectures such as the Hadoop ecosystem Experience with NLP or OCR technologies Desirable: Knowledge of generative AI concepts or frameworks Experience with containerisation such as Docker Experience in industrial, engineering or defence environments What’s on Offer Company performance bonus Up to 14% pension contribution Paid overtime or up to 15 additional holidays Enhanced parental leave and comprehensive family policies Excellent onsite facilities including subsidised meals and free parking

BI Analyst Up to £450/day - outside IR35 Remote - occasional visits to Hampshire office 3-month contract We are representing a growing organisation on the lookout for a BI Analyst to join them on an initial 3-month contract to help out with upcoming projects and play a key role in delivering high quality BI solutions. As the BI Analyst, you will be designing interactive, user-friendly dashboards and reports to support data-driven decisions across the business, as well as maintain and enhance existing reporting suites. We are looking for: 3-5 years experience working within Data & BI Extensive experience with Power BI - including Power BI Desktop, Power BI Service, Power BI Report Builder, DAX, Power Query (M) Strong background in semantic data modelling & data warehousing concepts Proficiency in T-SQL, SSMS, Excel Power Pivot, and Power Query Knowledge of cloud platforms - Azure preferred It would be a bonus if you had: Knowledge of Crystal Reports Experience automating Power BI processes with Power Automate and APIs If this sounds of interest, please apply today!

Work where work matters.Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA.We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.

Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development.

We are looking for a Senior Data Scientist to join our professional services team. We look for people who embody:Innovation to solve the hardest problems.‍Accountability for every result.‍Integrity always.About The RoleThe purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations.This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.What You’ll DoStrong grasp of statistics and probability fundamentalsSolid understanding of machine learning algorithms for supervised and unsupervised learningUnderstanding of Transformer based modelsExperience developing AI agentsStrong Python and SQL skillsExperience with Cloud ML tools and version control (e.g. git)Experience with MLOpsCollaborative, proactive, logical, methodical, and attentive to detailExcellent communication skills (verbal and written)Collaborate with clients to understand their business problems and design technical solutions using machine learning modelsDevelop and deploy machine learning models on Google CloudUse version control and agile working practicesStay up-to-date with the latest developments in machine learning and bring new ideas to the team.What Success Looks LikeDemonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationshipsProvides valuable feedback and acknowledges achievements in a constructive mannerUtilizes diverse influencing techniques to achieve goalsPossesses exceptional conflict resolution skills and can effectively negotiate in difficult situationsMaintains a delicate balance between personal and team objectivesDisplays sensitivity to the needs of others and readily offers assistance when neededCapable of independently developing data solutions using appropriate tools and techniquesExhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areasAdept at evaluating and incorporating new technologies into existing solutionsProvides expert advice and support to customers in defining effective solutionsSkillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders.We believe in supporting our team members both professionally and personally. Here's how we invest in you:Compensation and Financial WellbeingCompetitive base salary.Matching pension scheme (up to 5%) from day one.Discretionary company bonus scheme.4 x annual salary Death in Service coverage from day one.Employee referral scheme.Tech Scheme.Health and WellnessPrivate medical insurance from day one.Optical and dental cash back scheme.Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.EAP service.Cycle to Work scheme.Work-Life Balance and Growth36 days annual leave (inclusive of bank holidays).An extra paid day off for your birthday.Ten paid learning days per year.Flexible working hours.Market-leading parental leave.Sabbatical leave (after five years).Work from anywhere (up to 3 weeks per year).Industry-recognised training and certifications.Bonusly employee recognition and rewards platform.Clear opportunities for career development.Length of Service Awards.Regular company events.Diversity and InclusionAt Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

Applied Machine Learning Engineer Apple's Security Engineering & Architecture organization is responsible for the security of all Apple products. Passionate about safeguarding users, we believe that the best defense requires a great offense. When it comes to securing more than a billion devices running the world's most sophisticated operating systems, that means finding vulnerabilities first. Our mission is to discover, understand, and exploit vulnerabilities across all layers of Apple’s platforms, and we believe that ML techniques significantly enhance our ability to do so. We are seeking an Applied Machine Learning Engineer who will help us invent and deliver these new methods and techniques. This position provides rare exposure to a full‑stack view of security along with direct access to expert knowledge, unique datasets, and cross‑domain experience. Your contributions will materially raise the security of products used by billions and strengthen Apple’s ability to defend against adversaries. Can you make a difference on this scale? Join our extraordinary group of security researchers, tool developers, and machine learning experts, and help protect all Apple users. In this role, you will integrate deeply with security research teams to understand the challenges of analyzing large, complex systems across Apple’s full stack — from custom silicon and microarchitectural elements to boot ROMs, firmware, kernels, system frameworks, web browser and user applications. You will design and develop ML‑enhanced systems — using large language models, generative modeling, agentic workflows and other approaches — that complement other analysis methods such as fuzzing, static & dynamic analysis, and manual inspection. Your work will leverage raw data and expert behavior to create practical, scalable approaches to help researchers navigate vast codebases, reason about intricate attack surfaces, and identify subtle weaknesses that are challenging to detect manually. You will also collaborate regularly with security researchers to validate and challenge your innovations during real-world security evaluations, ensuring that your work will directly affect meaningful impact. - Expertise in ML, especially large language models and generative modeling - Experience with and/or strong enthusiasm for security, especially offensive security - Fluency with software engineering using languages such as C, C++, Python, Swift, Objective-C, Rust - Collaborative and effective problem-solving and analytical skills - Familiarity with software‑analysis techniques such as fuzzing, static analysis, code‑analysis tooling, reverse engineering, binary-analysis - Familiarity with security mitigations in modern operating systems At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more

CMG are excited to be partnering with a global tech leader who are looking for a finance/data analyst to join their team on a temp basis. THIS IS A TEMPORARY POSITION SO CANDIDATES MUST BE ON SHORT NOTICE About the Role In this role, you’ll build powerful financial models, sharpen forecasting, and use SQL to turn complex data into clear insights that guide critical decisions across Finance, Product, and Sales teams. You’ll drive and optimize core processes governance, reporting, dashboards, SOX controls while streamlining workflows, speeding up execution, and elevating financial clarity across international operations. You’ll collaborate with stakeholders across regions, anticipate risks, solve complex problems, and influence leaders with data‑backed recommendations. Drawing on deep FP&A or Business Finance expertise, you help shape plans, support project success, and continuously identify opportunities to improve efficiency without sacrificing quality. If you thrive in a fast‑paced environment and want to be at the centre of how a global technology business runs, this role offers the opportunity to make a real and immediate impact. Responsibilities Build, define, and maintain complex financial models that track direct and allocated spend, planning, and forecasting across multiple product or finance areas. Review large datasets, extract relevant insights, identify trends, and provide recommendations that support operational excellence and revenue growth. Create, deliver, and present financial reporting for products, markets, or Finance teams, offering data‑driven insights and high‑impact recommendations to leadership. Identify opportunities for process improvement and efficiency. Coordinate multi‑component change‑management activities and measure the effectiveness of implemented changes. Lead project planning, timeline estimation, status reporting, issue tracking, meeting facilitation, and project documentation. Manage project workstreams and drive cross‑functional working groups to deliver results. Provide guidance to teams to identify, mitigate, and escalate risks when needed. Build strong relationships across the Finance organization to align priorities and deliverables. Contribute to broader organizational initiatives, including recruiting, diversity programs, and community events. Required Skills 5 + years of relevant experience Experience with datasets and SQL Financial performance metrics Financial modeling Stakeholder management Finance or FP&A technical skills Robust analytical skills Strong competency with spreadsheets, documents, and presentation tools Apply today!

Experienced Azure Data Engineer (Mid/Senior) B2B: 14.000 - 22.000 PLN Location: Warsaw, Tychy OR REMOTE. APPLY NOW Future Mind is one of the most awarded digital advisory and delivery companies in the region. A brilliant, inspiring team. We value proactive professionals who enjoy teamwork, solving problems, and sharing knowledge. Together we create high-quality solutions that fulfill the business needs of our clients and impact the lives of their customers every day. We strive for continuous professional development with the active support of experienced mentors and team leaders along a well-structured professional development path – we allways keep learning. As a team, we have received several industry awards for delivering some of the best eCommerce applications in Poland, listed among the most popular and best reviewed applications in app stores. Our expert engineers, testers, designers, project managers, and analysts work on projects ranging from top mobile commerce apps used daily by millions of customers to IoT experiments. In 2023, we joined forces with Solita, a Finnish tech powerhouse with a vibrant community of over 2000 specialists across Europe, that combines data, business, and technology skills to build and improve digital services for leading organizations in manufacturing, medical, shipping, and other major industries, including such clients as NATO, Nokian Tires, Pfizer and many others. Together we are dedicated to delivering cutting-edge, data-driven solutions. Get hired in 3 steps! No one likes long recruitment processes. You can expect our recruitment process to be brief and effective. We'll tell you about us as much as we want to learn about you. 01. We get to know each other on a brief call 02. You complete a short recruitment task 03. We discuss your area of expertise Role description: As an Azure Data Engineer, your role involves designing and implementing ingestion and transformation pipelines, and data models while collaborating closely with the business stakeholders. You have worked with the Azure data stack and cloud for several years and understand the value created for customers. This job is all about: Building end-to-end ELT data pipelines on top of an Azure Data Services ; Designing data models based on large, complex data sets that meet both functional and non-functional business requirements; Holistic platform view (source systems, networking, orchestration, etc.) with the ability to deliver business value; Collaborating within our project teams to meet client needs and deliver high-quality solutions. Here’s what we’re looking for: Vast experience with Azure Data Services; Deep understanding of dimensional data modeling techniques (data vault would be a plus); Proficiency with combining SQL and Python with a modern ELT toolset (Fabric, Synapse, Spark, or equivalent); Experience with ADF, Airflow, or other orchestration tools; Effective communication skills, proficient in Polish and English. You also must have the legal right to work in the EU to apply for this position. …and here’s what we offer: A dynamic work environment where innovation and collaboration are valued. Access to cutting-edge projects and technologies in a variety of industries. A supportive community of experts to foster your professional growth and development. Competitive compensation, comprehensive benefits, and a focus on work-life balance. Opportunities for continuous learning and career advancement, including specialized training in big data technologies and Snowflake certifications. The ability to work fully remotely or check into one of our offices whenever you like, Fully paid private health insurance, subsidized sports membership, mental health support, and language courses.

Data EngineerLocation: Worcester (Hybrid / Remote options) Salary: Circa £55,000 We are recruiting a Data Engineer to join Livity Life during an exciting period of growth and platform evolution. This role focuses on building and optimising modern data pipelines, supporting the migration from legacy systems, and enabling data-driven decision-making across the organisation. You'll be working on meaningful projects that underpin healthcare and proactive care initiatives, not just maintaining existing systems. What you'll be doing Designing and maintaining robust data pipelines and architectures Migrating and transforming data from legacy systems Working with Azure Data Services, SQL Server and Microsoft Fabric Collaborating with analytics and reporting teams Ensuring data quality, security and compliance What we're looking for Strong SQL Server and T-SQL experience Hands-on Azure data engineering experience Exposure to Microsoft Fabric and Power BI Ability to work across multiple workstreams in a changing environment What's in it for youMeaningful, project-led work Cutting-edge Microsoft technology and transformation projects A growing, changing and dynamic environment Autonomy with support Worcester-based with hybrid and remote working options 25 days holiday plus bank holidays Option to take up to 5 additional unpaid days Company pension scheme Life assurance Rewards scheme with 200+ exclusive perks and discounts This is a great opportunity to join a business investing in modern technology, meaningful projects, and long-term capability building. These roles are being recruited exclusively by Hewett Recruitment as part of a strategic partnership with Livity Life. No other recruitment agencies are engaged or authorised to support this programme.

Data Engineer (w/m/d) Bei hessnatur verbinden wir Stil mit Haltung – seit 1976. Als Marke für Fair Premium Fashion setzen wir auf durchdachtes Design, höchste Materialqualität und echte Verantwortung. Für uns geht es nicht um kurzfristige Trends, sondern um langfristige Wirkung: ökologisch, sozial, ästhetisch. Wenn du mit uns daran arbeiten möchtest, unsere IT-Landschaft aktiv mitzugestalten, dann freuen wir uns darauf, dich kennenzulernen! Verstärke unser Data Team als Data Engineer (w/m/d) zum nächstmöglichen Zeitpunkt. Selbstverständlich besteht die Möglichkeit, teilweise remote zu arbeiten. Deine Aufgaben - Du bist für den Aufbau, die Weiterentwicklung und den Betrieb unseres modernen Data Stacks sowie unserer Business-Intelligence-Systeme verantwortlich - Gemeinsam mit deinem Team setzt du Anforderungen der Data- und BI-Plattform um – von der Datenintegration bis hin zu Reports und Dashboards - Du unterstützt die Fachbereiche bei der Nutzung unserer BI-Tools, erklärst Datenauswertungen und hilfst dabei, datengetriebene Entscheidungen zu ermöglichen - Du überwachst aktiv die Qualität unserer Produktdaten, identifizierst Fehler oder Inkonsistenzen und wirkst bei der Verbesserung und Sicherstellung einer hohen Datenqualität mit Du bringst mit - Du hast ein abgeschlossenes Studium im Bereich Informatik, Data Engineering, Wirtschaftsinformatik oder vergleichbare Qualifikation - Du hast bereits Berufserfahrung im Bereich Data Warehousing, Business Intelligence, Data Analytics, o.ä. sammeln können - Ebenso konntest Du erste Projekt- und Implementierungserfahrung in folgenden Bereichen sammeln: Daten- und Prozessmodellierung, SQL, ETL, Reporting - Du denkst analytisch, bist verantwortungsbewusst und teamfähig und scheust dich nicht davor zurück, mit ausdauernder Leistungsbereitschaft neue Aufgaben anzupacken - Ein hohes Maß an Kommunikationsfähigkeit, ausgeprägte Hands-On-Mentalität und Flexibilität zeichnen dich aus - Von Vorteil sind Kenntnisse in Microsoft Fabric, PowerBI, Python, Data-Lake-Architekturen Wir bieten - Eine sinnstiftende Tätigkeit bei dem Pionier und bekanntesten Modelabel für Fair & Eco Fashion - Die Gelegenheit, in einem innovativen, auf die Zukunft ausgerichteten Unternehmen das Arbeitsumfeld selbst mitzugestalten - Einen Aufgabenbereich, der sich ständig weiterentwickelt und vielfältige Entfaltungsmöglichkeiten bietet - Flache Hierarchien mit kurzen Entscheidungswegen - Eine unbefristete Festanstellung in Vollzeit, flexible Arbeitszeiten und 30 Tage Urlaub - Zusätzlich schenken wir dir für Heiligabend und Silvester jeweils einen halben Tag Urlaub - Unterstützung in deiner fachlichen und persönlichen Weiterentwicklung - Einen Arbeitgeber der sehr viel Wert auf ein gutes Unternehmens- und Arbeitsklima legt - Eine betriebseigene Kantine, hessnatur Mitarbeiterrabatt, einen Kinderbetreuungszuschuss, Bike Leasing, betriebliche Altersvorsorge und vieles mehr Kein Job für dich dabei? Lass uns trotzdem wissen, dass wir dich brauchen. dass wir dich brauchen.

A Data Engineer is responsible for designing, building, and maintaining large-scale data systems and infrastructure. Their primary goal is to ensure that data is properly collected, stored, processed, and retrieved to support business intelligence, analytics, and data-driven decision-making.   Key Responsibilities: Design and Develop Data Pipelines: Create data pipelines to extract data from various sources, transform it into a standardized format, and load it into a centralized data repository. Build and Maintain Data Infrastructure: Design, implement, and manage data warehouses, data lakes, and other data storage solutions. Ensure Data Quality and Integrity: Develop data validation, cleansing, and normalization processes to ensure data accuracy and consistency. Collaborate with Data Analysts and Business Process Owners: Work with data analysts and business process owners to understand their data requirements and provide data support for their projects. Optimize Data Systems for Performance: Continuously monitor and optimize data systems for performance, scalability, and reliability. Develop and Maintain Data Governance Policies: Create and enforce data governance policies to ensure data security, compliance, and regulatory requirements.   Experience & Skills: Hands-on experience in implementing, supporting, and administering modern cloud-based data solutions (Google BigQuery, AWS Redshift, Azure Synapse, Snowflake, etc.). Strong programming skills in SQL, Java, and Python. Experience in configuring and managing data pipelines using Apache Airflow, Informatica, Talend, SAP BODS or API-based extraction. Expertise in real-time data processing frameworks. Strong understanding of Git and CI/CD for automated deployment and version control. Experience with Infrastructure-as-Code tools like Terraform for cloud resource management. Good stakeholder management skills to collaborate effectively across teams. Solid understanding of SAP ERP data and processes to integrate enterprise data sources. Exposure to data visualization and front-end tools (Tableau, Looker, etc.). Strong command of English with excellent communication skills.