2,326 to 2,350 of 2,980 Data Pipeline Jobs in the UK

strategic research, Voice of Customer synthesis, and research operations. You will frame complex, ambiguous business questions into researchable problems, merging qualitative and quantitative data with statistical rigour to guide product and leadership teams.By championing a holistic view of customer needs across global markets, you will ensure our strategy … directly aligns with user sentiment. Your work will protect data quality and continuity as our systems evolve, creating reusable insights that empower teams to act with confidence.The team & how they connectYou will join a collaborative, cross-functional group that works closely with product, design, data science ...

Description We've had strong results with a profile that blends hands-on software/data engineering with direct client delivery - someone who embeds with a client team, understands their commercial problem, and builds and ships the tooling to solve it. We want more of this … guide more junior engineers, not just execute a defined spec. A computational scientist/forward deployed engineer who can move fluidly between data pipelines, backend logic, optimization/simulation, and client-facing dashboards - and deploy it all to production. The defining trait is the combination of genuine engineering ...

Boehringer Ingelheim in London is hiring two Senior Data Engineers for the AI Enablement team. You will design and deliver robust data pipelines transforming harmonised biomedical datasets into AI-ready assets across multi-omics, imaging and health records. You will own significant workstreams under guidance from … Senior Staff Data Engineer. The role requires a PhD in a quantitative field, hands-on ML data engineering experience, and familiarity with biomedical data governance. #J-18808-Ljbffr ...

genuine ownership here, not just a seat at the table. This is a data engineer role sitting inside a tech-focused asset manager that moves fast, thinks collaboratively, and actually invests in its data infrastructure. You are joining at a pivotal moment as the business builds … next generation data platform, and you are one of the people shaping what that looks like. Day to day you are designing and building data pipelines and integrations, working closely with stakeholders across the business to understand what they need and translating that into robust, scalable ...

with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data andMLOps/LLMOpspipelines for training … practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based ...

Simpson Booth Ltd. is seeking a Data Engineer to join a small, ambitious team building the backbone of a new data platform for energy storage and grid-scale infrastructure. You will start by moving data into a PostgreSQL warehouse, creating API integrations, and writing ...

first, guardrails over manual approvals Hands-On Automation & Integration Build automation to remove manual compliance, reporting and remediation effort Develop APIs, services and data pipelines integrating cloud, security, identity and finance systems Enable self-service analytics and reporting for internal teams Embed secure, zero-trust patterns across automation … workflows Reporting & Stakeholder Enablement Own executive dashboards, scorecards and reporting outputs Translate technical data into business and regulatory insights Partner with Finance, Risk, Audit and Engineering to support governance and reporting Automation Strategy & Patterns Define and evolve automation and compliance strategy Establish policy-as-code and governance patterns ...

rapidly evolving technology company in the UK is seeking a Senior Data Engineer to design and build scalable data pipelines for AI-driven solutions. The role requires strong expertise in Python and SQL, as well as a solid understanding of data modelling ...

Kargo is hiring a Senior Data Engineer to build and scale the data infrastructure powering our targeting, identity, and measurement capabilities. This remote role is based in London, UK, allowing you to contribute to data pipelines, CI/CD, and architecture decisions that move … fast at scale. You will own ETL/ELT pipelines, integrate new data sources, implement privacy-aware methods, and collaborate with engineering to ensure reliable data products across AWS, EKS, Docker, and Kubernetes. #J-18808-Ljbffr ...

technically minded role that blends traditional GRC responsibilities, including audits, risk management, policy, and due diligence, with engineering-oriented skills like API integrations, data querying, and control automation. You'll be a key player in maintaining our compliance posture across frameworks like SOC 2, NIST … This role suits someone who is equally comfortable talking to auditors as they are writing a query to pull evidence out of a data pipeline. What You'll Do Audits & Framework Management Own or co-own preparation for and execution of SOC 2 (Type I/II) audits ...

Google is seeking a Senior Data Scientist in London to design statistical, ML, and AI tools for reliability infrastructure. You will influence engineering priorities and work with the Platform Reliability Engineering organization on change supervision and rollouts. You will collaborate with engineering and product teams, build data pipelines, and gain deep knowledge of data assets to shape roadmaps. This role emphasizes impact on Google Cloud Platform reliability and data-driven decisions. #J-18808-Ljbffr ...

shopping experiences on both the mobile and web apps. They will define requirements for internal tooling by developing prototypes. They will employ their data processing and analysis skills to evaluate and report on model performance, producing insights that inform product decisions. By creating and synthesizing quality metrics, they … technology to help us measure, analyze and solve complex problems. The candidate should have experience in creating technical solutions for automating and processing data workflows at scale and have the ability to do so while upholding the highest linguistic quality standards. They should also have exceptional writing ...

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts … solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates ...

About Us:LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across … your potential with meaningful careers.About the Role:Do you want to help reinvent Governance Risk and Compliance by turning cyber security controls, risk data and audit evidence into software, automation and real-time assurance? If so, we are seeking a Lead Software Engineer to join the Cyber Security ...

Bionic Services Limited is looking for a Senior Data Engineer to design and scale data platforms critical for business reporting. You will enhance data pipelines, work with teams, and ensure delivery of high-quality data products. The role demands advanced SQL, Python ...

ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and securityUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage … within team practicesHands-on experience building and operating data pipelines (e.g., ETL/ELT patterns, orchestration/scheduling, monitoring, and data quality checks) in a production environmentPreferred qualifications, capabilities, and skillsExperience leading engineering teams within a large, complex organizationFamiliarity with modern cloud technologies and deployment practicesExperience ...

critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within … team practices Hands-on experience building and operating data pipelines (e.g., ETL/ELT patterns, orchestration/scheduling, monitoring, and data quality checks) in a production environment Preferred qualifications, capabilities, and skills Experience leading engineering teams within a large, complex organization Familiarity with modern cloud technologies ...

front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents … operating CI/CD pipelines, Distributed, and Concurrent Systems.Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas.Code Quality: Exceptional ...

FanDuel is seeking a Senior Engineering Manager to lead teams of data engineers and consultants in building scalable data pipelines powering BI, analytics, fraud detection, and reporting. You will partner with Data Architects, Product Managers, Analytics, and Engineering to set strategy, govern platforms … ensure reliable, cost-effective data services. You will mentor and grow a high-performing team, balance hands-on engineering with people leadership, and drive data-driven decision making #J-18808-Ljbffr ...

architectural consistency.Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features.Risk & Dependency Mitigation: Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global … orchestration (Kubernetes), or distributed systems.AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups.Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders ...

Sperry Rail is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications behind Zula 2.0, the platform that ranks and fuses outputs from rail inspection systems. You will work across the full stack with emphasis on backend data processing, analytics, and ML workflows hosted on AWS. Bring strong Python, data pipelines, AWS experience, and a collaborative mindset to translate rail inspection requirements into scalable technical solutions while #J-18808-Ljbffr ...

decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight. Our ambition is to become the analytical backbone that … over which problems we take on. Breadth rather than a narrow track. The work follows the problem, which means service design one month and pipeline or infrastructure work the next. Engineers here have the opportunity to build depth across several areas rather than being funnelled into one. Progression based ...

Portfolio Analytics, you will take ownership of our growing in-house analytics workbench - working across the full stack, shaping how the business uses data, and coordinating with a small offshore vendor team to keep delivery on track. It's a hands-on role for someone with a strong … front end and Python (FastAPI) on the back end, writing clean, well-tested code that's easy to support and extend. Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data reliably and securely. Coordinate an offshore ...

functionalities, making a tangible difference in the way their clients harness AI technology. Proven experience with Python and SQL in developing production-grade data pipelines Strong understanding of REST APIs, webhooks, OAuth, and event-driven architectures Familiarity with orchestration tools such as Airflow, Prefect, or Dagster Cloud platform … experience with AWS, GCP, or Azure Hands-on experience with containerisation technologies like Docker and Kubernetes Knowledge of data integration patterns and systems connecting SaaS platforms, internal databases, and third-party APIs Excellent debugging skills with high regard for data integrity and system reliability Competency with ...

engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects … similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu: Our teams forge connections internally and work with some of the best‐known brands ...