Data Engineering Jobs

Harnham - Data and Analytics Recruitment · Abingdon · US$200,000 – US$225,000 pa

Builds scalable data platforms, pipelines and ML infrastructure, and deploys production AI solutions including LLMs, RAG systems and AI agents. Works in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.

Harnham - Data and Analytics Recruitment · London · £60,000 – £75,000 pa

Lead the design and delivery of greenfield data engineering projects from concept to production, building pipelines, transformations and orchestration workflows on modern cloud data platforms. The role offers genuine ownership, acting as technical point of contact for stakeholders and clients, within a fully remote team across the UK and Ireland.

Tenth Revolution Group · Reading · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

Tenth Revolution Group · Bristol · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms and pipelines, including Data-as-a-Service capabilities, analytics and BI solutions, and secure data services and APIs. Works with product, engineering, data science and leadership teams on ML, AI and decision-intelligence foundations, with scope to build and lead a wider data function.

Databricks · London

New-grad engineers join a cohort to build infrastructure and products across backend, full stack, infrastructure, databases, systems, cloud and customer-facing teams. You own the full development lifecycle from design and testing to running services in production, with a dedicated mentor supporting your onboarding.

Amazon · London

Builds and maintains scalable ETL/ELT pipelines and logical/physical data models for supplier mapping, performance and risk analysis, and a trusted supplier data repository. Partners with engineers, scientists and business teams to deliver self-service data products, with cross-timezone collaboration and evaluation of generative AI tooling for data workflows.

Artis Recruitment · Bristol · £80,000 – £85,000 pa

Lead a team of data engineers while staying hands-on with complex data challenges, providing technical direction and coaching. Drive the migration and modernisation of legacy platforms into a Databricks lakehouse environment, building pipelines, models and curated datasets, and championing engineering best practice within Agile delivery.

Hyre Ai · London · £50,000 – £70,000 pa

Own an AI-first analytics startup's production multi-agent system end to end, building LLM-powered features across agents, APIs and infrastructure. Work spans tool calling, structured outputs, memory and context management, plus adding tools to the company's MCP server. You'll also build evals and tracing and run the AWS stack (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock) with CI/CD and infrastructure as code.

Eclectic Recruitment · Stevenage · £45,000 – £55,000 pa

Designs enterprise-wide data and BI solutions for a defence organisation, integrating business data, simulators, missile test systems and shop-floor machines into governed, value-generating assets. Builds scalable ETL/ELT and streaming pipelines across MES/SCADA, ERP and PLM, and develops Power BI analytics for self-service and executive reporting. Works on data lakes, lakehouses and time-series stores with DataOps practices in hybrid/on-prem environments.

Matchtech · Barrow-in-Furness · £67 ph

Builds and maintains BI reports, dashboards and ETL pipelines using IBM Cognos Analytics and Tableau, working with stakeholders to gather reporting requirements and turn complex business data into KPI insights. Sits in a growing data and analytics team supporting operational and strategic decisions, with a focus on data quality and consistency across platforms.

Morson Edge · Manchester · £800 – £1,000 pd

Hands-on technical leadership role shaping a strategic data platform for an investment management firm, with Snowflake at its core. Responsibilities span designing scalable platform solutions, building and optimising end-to-end ELT pipelines, defining engineering standards and governance, and developing Infrastructure as Code with Cloud Engineering. Works in an Agile team supporting analytics, AI and ML adoption.

Ageas Insurance Limited · Eastleigh · £70,000 – £85,000 pa

Builds and supports data products on a modern cloud data platform, developing pipelines, integrations and orchestration with Databricks or Snowflake on AWS, Python, Spark, Airflow and SQL. Works in agile squads with data scientists, architects and product teams, supporting ML and GenAI infrastructure and promoting strong engineering standards.

Adria Solutions · Manchester · £70,000 – £95,000 pa

Hands-on lead role owning an existing SQL Server, SSIS and Power BI data estate and modernising it into a governed AWS lakehouse with batch and real-time processing. Combines architecture and technology selection with line management of a small Data Engineering team, plus building a Customer Data Platform and enabling BI, Data Science and Applied AI.

VIQU IT · London · £500 – £1,000 pd

Owns a government programme's data platform end to end, building batch and streaming ETL/ELT pipelines, data models, quality monitoring and governance in an SC-cleared environment. On top of core data engineering, builds production RAG pipelines covering chunking, embeddings, hybrid search, reranking and query-time access control, with evaluation of retrieval quality.

Adria Solutions · Manchester · £65,000 – £80,000 pa

First dedicated data engineer for a growing business building a new digital services platform, reporting to the CTO. You'll own the data platform, developing batch and streaming pipelines, building warehouse or lakehouse architecture and data models, and establishing governance, security and GDPR/FCA-compliant practices to support reporting, analytics and future AI.