Oferty pracy Data Engineer i Data Science — 471+ Ofert

Job Description       Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.    Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.   Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.   All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.     Join us an AI Engineer to join our Private Bank & Wealth Management (PBWM) GenAI team, where innovation is already delivering real impact. You’ll work on high‑profile, strategic initiatives, contributing to end‑to‑end GenAI solutions that are already delivering measurable value for our clients, while helping solve complex problems and drive tangible business outcomes.   To be successful as an AI Engineer, you should have experience with; Expert Python & AI Engineering Frameworks- Deep proficiency in Python and modern AI frameworks (e.g., LangChain, LangGraph, HuggingFace), including vector‑retrieval tooling. Agentic AI & Orchestrated Reasoning- Hands‑on experience designing and deploying agentic AI workflows, tool‑using agents, and multi‑step reasoning systems in production environments. RAG Architecture & Implementation- Practical experience designing and implementing Retrieval‑Augmented Generation (RAG) solutions, including embeddings, chunking, retrieval optimisation, and safety/guardrails. Production‑Grade AI Application Engineering- Proven ability to build and operate full‑stack AI applications (backend, APIs, modern front‑end frameworks such as React) with focus on reliability, scalability, security, and observability. Cloud‑Native AI Deployment on AWS- Experience deploying AI solutions using AWS services such as Bedrock, SageMaker, Lambda, API Gateway, and vector‑enabled datastores (e.g., OpenSearch, pgvector).   Some other highly valued skills may include; End‑to‑End MLOps / LLMOps- Experience with model lifecycle management, evaluation frameworks, monitoring, and CI/CD for AI workloads. Model Fine‑Tuning Expertise- Understanding of fine‑tuning techniques and when to apply fine‑tuning vs. RAG vs. hybrid strategies. Enterprise‑Grade Governance & Security- Experience designing AI systems within regulated or compliance‑heavy environments. Cost‑Optimised AI Architecture- Ability to design scalable, efficient AI systems through model selection, inference optimisation, and resource‑efficient deployment.   You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills   Location of the role is Glasgow

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.

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.

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.  

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!

Snowflake Data Engineer (Contract - Outside IR35) Hybrid (2 days onsite) – Edinburgh | £500 – £550 per day | 6 months | ASAP   Role Overview We are looking for a senior Snowflake Data Engineer to lead the migration from a bespoke AWS data platform to a modern Snowflake Lakehouse. This is hands-on and leadership combined. You will modernise an existing estate (not greenfield), deliver BAU improvements, and upskill the internal team to own the platform long-term. You will be working across Lambda, Glue, and Step Functions pipelines, moving transformations into dbt Core, and shaping the future architecture across orchestration, security, and cost control. Essential Skills Strong Snowflake experience (Lakehouse design, RBAC, security, cost optimisation) Deep dbt Core expertise (modelling, testing, macros, SCDs, incremental models) Solid dimensional modelling (Kimball – star schemas, facts/dimensions) Advanced SQL Orchestration tools (Airflow, Dagster or similar) Bonus Points AWS (Lambda, Glue, Step Functions) Workato or similar iPaaS tools Python / Snowpark Data governance / cataloguing This is an Outside IR35 contract role and hybrid to Edinburgh. Very strong chances of extension and for a leading product company. If you are keen APPLY NOW.   Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

Drillmar Resources are currently recruiting for experienced Data Engineers for upcoming work in March 2026.  Applicants must have prior experience working in one or more of the above positions and hold the following valid certification: OPITO Offshore Survival (BOSIET/FOET) with CA-EBS OPITO Minimum Industry Safety Training (MIST) OGUK Medical with Bideltoid Measurements Please note: Only candidates who meet both the experience and certification requirements can be considered. Unfortunately, we are unable to progress applications or retain details on file from applicants who do not meet the above criteria.

We are currently recruiting for a Contract Data Scientist to support an innovative engineering-focused organisation operating within a fast-paced R&D environment. This is an excellent opportunity for a hands-on data specialist with strong MATLAB expertise who enjoys working closely with engineering teams to drive product development through high-quality data analysis. The Role As a Contract Data Scientist, you will play a key role in supporting engineering development activities through advanced data analysis and tool development. You’ll be working with scientific and test-generated data, helping translate complex datasets into meaningful insights that directly inform product and application improvements. This position requires someone confident working autonomously, enhancing existing analytical frameworks, and collaborating with multidisciplinary engineering teams. Key Responsibilities Develop, write, and maintain robust MATLAB analysis scripts and tools Analyse complex datasets generated from scientific and engineering test environments Utilise and enhance existing internally developed MATLAB scripts to support ongoing engineering development Identify opportunities to optimise, refine, and improve current data analysis methodologies Support Test and Applications Engineers with data interrogation, validation, and insight generation Present analytical findings clearly to technical stakeholders Operate effectively within a fast-paced, iterative engineering development setting Required Experience & Skills Strong proficiency in MATLAB, including script development and tool creation Proven experience analysing scientific or engineering test data Ability to understand experimental methodologies and interpret technical datasets Experience improving or building scalable analysis workflows Comfortable working closely with engineering teams to solve practical development challenges Strong problem-solving skills and attention to detail Able to manage priorities in a dynamic R&D environment Desirable Experience Background in scientific instrumentation, sensors, electronics, or similar technical fields Experience validating data quality and supporting product verification processes Exposure to structured development environments or regulated industries This contract would suit a proactive and technically strong Data Scientist who thrives on solving complex engineering problems and contributing directly to product innovation.

Job Title: Data Engineer (Talend & Unix Specialist) Location: Telford (Hybrid - occasional onsite workshops, ~2 days/month in Telford) Rate: Up to £450/day inside IR35 Security Clearance: Active SC Role Overview We are seeking an experienced Data Engineer to design, build, and support robust data integration and ETL solutions within a secure government environment. The role focuses on delivering scalable, performant data pipelines and ensuring high service reliability across critical data platforms. Key Responsibilities Design and implement secure, scalable data integration and ETL solutions using Talend and UnixBuild and maintain data pipelines (ingestion, transformation, curation) with monitoring, alerting, and SLA adherenceCollaborate with stakeholders to define requirements aligned to non-functional requirements (performance, cost, security)Support incident resolution and ensure service continuityContribute to Agile delivery ceremonies and cross-functional team collaborationMentor team members and share technical knowledge Essential Skills TalendUnixOracle SQLAgile delivery (Scrum/Kanban)Jira & Confluence Desirable Skills Oracle PL/SQLAWSGitLabVaultDenodoData modelling & design (HLD/LLD)Test automation frameworksArtifactoryBerlin JobSchedulerKnowledge of D4D development lifecycle If this Data Engineer role is of interest, apply now or email your CV to me at laura.fitzgerald@cbsbutler.com

Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. And with an incredible 100% growth last year. Our mission is to continue to improve our ad-tech platform, especially the core of it, our algorithms, to help our clients achieve their programmatic advertising campaign goals. We want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact. We are looking for a Growth Data Scientist to work closely with internal and external teams to help advertisers achieve their business goals and improve the effectiveness of Smadex Ads. The candidate should be communicative and analytical, in order to answer the complex questions that Product and Campaign performance are facing. For this purpose we use tons of data available to get powerful insights to resolve them, creating effective strategies to help improve the Smadex platform!  This is a full-time position based in Barcelona. Your tasks and responsibilities: Dive deep into complex datasets, covering the behavior of millions of users and apps worldwide, to extract actionable learnings that inform high-level strategy and stakeholder understanding Partner with business and technical teams to drive rigorous analysis and testing, identifying key opportunities to maximize the performance and effectiveness of Smadex campaigns. Collaborate with stakeholders to channel market insights and performance data into our roadmap, directly influencing Product and ML strategies to enhance our platform's capabilities. Skills and requirements: +3 years of experience as a Data Analyst / Data Scientist Bachelor's or Master's Degree in a Quantitative Field (Engineering, Statistics, Mathematics, Data Sciences,.) Strong problem-solving skills, ability to formulate questions, run analysis to articulate a recommendation. Proven working knowledge of Python, SQL and large data sets, understanding of analytic methodologies for data evaluation. Excellent verbal and written communication skills, with the ability to present analysis and conclusions. Strong knowledge and experience of statistical concepts and hypothesis testing. Knowledge of the ad-tech industry is a plus. Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered. What is in it for you: Integrate a highly motivated and young team. Great compensation package. Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, barbeque, and a fully stocked fridge. Work from home: 2 days/week Private Health Insurance Access to LinkedIn Learning Meal vouchers - Tickets Restaurant monthly allowance. Monthly gym allowance: Choose between DiR Gym and Wellhub Monthly TGIF events. Regular team-building events. Fun and friendly work environment with talented marketers and engineers from over 40+ countries And more!

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.

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.

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!

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.

As a Senior Data Engineer at dbt Labs, you'll build and maintain the core data platform infrastructure that powers our internal analytics and data products. You'll own the platform that makes data trustworthy at every layer — from the contracts that govern how it lands, to the infrastructure that stores, transforms, and delivers it across the business. This role is a part of a tight-knit, strategic team that combines strong technical execution with a bias for impact and cross-functional influence. This is a unique opportunity to work on infrastructure that sits at the center of how dbt Labs runs as a business — with executive visibility, deep cross-functional reach, and the added dimension of dogfooding the very products we build. If you're excited by the challenge of solving hard platform problems with cutting-edge tooling and making a direct, lasting impact on company growth, this role is for you. In this role, you can expect to: Own the architecture and operations of our data lakehouse, including object storage, table formats, maintenance, and query engine integrations Build and maintain the infrastructure layer that transforms and serves data reliably at scale—from raw landing zones through to curated, queryable datasets Partner with product engineering to establish data contracts and schema standards around event telemetry, ensuring data arrives in the lakehouse in a form that's reliable and ready for downstream use Drive decisions on data platform architecture, tooling, and engineering best practices across storage, compute, and access layers Enhance observability and monitoring of data infrastructure, including pipeline reliability, data freshness, and system performance Partner cross-functionally with teams across Analytics, Infrastructure, and Product to understand data needs and deliver impactful platform solutions Provide product feedback by dogfooding new data infrastructure and AI technology You're a great fit if you have: Expert-level SQL and Python skills 5+ years of experience as a data engineer, and 8+ years of total experience in software engineering (including data engineering roles) Strong knowledge of data lakehouse architecture, including storage layer design, table formats, and compute/query engine integration Experience defining and enforcing data contracts or schema standards in collaboration with upstream engineering teams Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect Working knowledge of cloud infrastructure tooling, including Terraform, Helm, and Kubernetes Hands-on experience running Apache Spark in production, including job tuning, cluster sizing, and managing failures at scale A bias for action—able to stay focused and prioritize effectively in an ambiguous environment You'll stand out if you have: Experience developing and scaling dbt projects Hands-on experience with Apache Iceberg or other open table formats in production, including multi-region or multi-cloud deployments Experience designing platform infrastructure that serves multiple downstream teams and use cases Experience working in a SaaS or high-growth tech environment

Job Description Role Overview This role focuses on building machine learning models used across financial data, risk, and automation use cases. You’ll work alongside engineers and product teams to deploy ML solutions into production. Key Responsibilities Develop and deploy ML models Work with structured financial datasets Collaborate with engineering teams Improve model performance and monitoring Support production ML pipelines Required Experience Machine learning engineering experience Python and ML frameworks Experience deploying models to production Financial services or data-heavy background Cloud ML tooling exposure Nice to Have NLP or time-series modelling MLOps experience Risk or fraud use cases

<p><span>We are seeking a highly capable and driven Data Engineer to play a central role in FitFlop’s data transformation journey. This position will focus on designing, building, and optimising data pipelines and integrations to support our migration to Snowflake, implementation of NetSuite, and broader digital infrastructure modernisation.</span></p><p class="MsoBodyText"><span>The ideal candidate will bring strong hands-on technical skills, experience with modern data engineering tools, and the ability to partner with business stakeholders to deliver scalable, reliable, and trusted data solutions.</span></p><p class="MsoBodyText"></p><p class="MsoBodyText"><span><strong>The Responsibilities:</strong></span></p><ul><li><p><span>Migrate, automate and optimise existing Smartsheet and Excel processes into robust, auditable cloud-based pipelines by using Power Query.</span></p></li><li><p><span>Design, develop and maintain scalable, reliable data pipelines between Tertiary Systems and Snowflake to integrate product, vendor, customer, and financial data from NetSuite and other systems.</span></p></li><li><p><span>Build and optimise Snowflake queries, views, and tables to enable real-time reporting and data consumption across departments (Merchandising, Operation, Product, Finance).</span></p></li><li><p><span>Build and maintain a Snowflake data dictionary to support documentation, clarity, and cross-team collaboration on data definitions and ownership.</span></p></li><li><p><span>Collaborate with BI Analysts and stakeholders to identify data needs and deliver innovative solutions that support business decisions.</span></p></li><li><p><span>Establish data validation and quality control layers to ensure trusted downstream usage of data.</span></p></li><li><p><span>Support broader data ecosystem architecture, bridging operational systems and the data warehouse.</span></p></li><li><p><span>Solve complex business requirements using the features and capabilities of the enhanced date warehouse such as ML/AI, Flow, and Cortex.</span></p></li></ul><p class="MsoBodyText"></p><p class="MsoBodyText"><span><strong>Key Projects You’ll Contribute To:</strong></span></p><ul><li><p><span>NetSuite and Snowflake integration.</span></p></li><li><p><span>Legacy Excel to Cloud-based pipeline transition.</span></p></li><li><p><span>Automation of data workflows for Product, Marketing, Supply Chain, and Customer Service.</span></p></li><li><p><span>Data validation and governance to support business-critical decision-making.</span></p></li><li><p><span>Future system integrations (PIM, PLM, eCommerce).</span></p></li></ul><p><br><span><strong>The Person:</strong></span></p><ul><li><p><span>Proven experience with data engineering tools and languages (e.g., SQL, Python, Snowflake, Google Big Query).</span></p></li><li><p><span>The ideal candidate will have hands‑on experience working with modern code repositories such as GitHub, Bitbucket, or similar version control platforms.</span></p></li><li><p><span>Solid understanding of data modelling, transformation, and validation best practices.</span></p></li><li><p><span>Experience automating and optimising data pipelines and workflows.</span></p></li><li><p><span>Strong Power Query and Excel expertise, especially in business automation scenarios.</span></p></li><li><p><span>Familiarity with ERP systems (preferably Microsoft Dynamics Navision, NetSuite).</span></p></li><li><p><span>Proven ability to translate business requirements into data solutions.</span></p></li><li><p><span>Cross-functional communication skills – able to work with technical and non-technical stakeholders.</span></p></li><li><p><span>Strong problem-solving and analytical skills.</span></p></li><li><p><span>Passion for process improvement and data automation.</span></p></li><li><p><span>A problem-solver who thrives in dynamic, changing environments.</span></p></li><li><p><span>Strong ownership mentality with the ability to work independently on complex problems.</span></p></li><li><p><span>Collaborative team player who can mentor, document, and share knowledge.</span></p></li></ul><p></p><p><strong>The Benefits:</strong></p><ul><li><p>👟 Product Allowance</p></li><li><p>⏰ Hybrid and flexible working hours (3 days per week in the office)</p></li><li><p>☀️ Summer Fridays (6 ½ days in July and August on Fridays)</p></li><li><p>🎂 A day off for your Birthday</p></li><li><p>🌴 25 days holiday + Bank Holidays</p></li><li><p>🗺️ Work from anywhere for 2 weeks</p></li><li><p>🚼️ Workplace Nursery (salary sacrifice scheme to save money on your nursery fees)</p></li><li><p>💆‍♀️ Wellbeing Program – Retail Trust, Sanctus Coaching and Calm App</p></li><li><p>📚 Career development allowance (personal allowance to use on career development)</p></li><li><p>🏥 Private health care and or dental care (provided by AXA and DenPlan)</p></li><li><p>🤩 Socials organised by Wellbeing and Feel Good group</p></li><li><p>➡️ Check out our<span> </span><a target="_blank" href="https://careers.fitflop.com/"><strong>careers page</strong></a><span> </span>to learn more!</p></li></ul><p></p><p><strong>Equal Opportunities:</strong></p><p>FitFlop is an equal opportunities employer. We are committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and supported. We welcome applications from people of all backgrounds, regardless of age, gender identity, sexual orientation, disability, neurodivergence, ethnicity, religion or belief, or any other characteristic protected by law.</p><p>We actively encourage neurodivergent candidates and individuals with disabilities to apply. If you require any reasonable adjustments during the application or interview process, please let us know. We are committed to providing an accessible and supportive recruitment experience.</p>