Data Engineering Jobs

Experis · Bristol · £550 – £650 pd

Designs, develops and supports data integration, warehousing and reporting solutions for a secure government programme. Works hands-on with Oracle, ETL, SQL/PL-SQL, data migration, cleansing and star/snowflake modelling, with IBM DataStage, Cognos and TM1 desirable. Occasional travel to Bristol.

TXP · London

Builds BigQuery pipelines on Google Cloud that turn set-top-box viewing feeds into exposure tables, including finishing a half-built one. Creates privacy-safe joins between exposure data and partner outcome data (card spending, web visits) in BigQuery and Snowflake clean rooms, working directly with partners' data teams. Day-to-day work with coding agents like Claude Code is expected.

The Alan Turing Institute · London · £57,000 – £69,000 pa

Designs and operates robust data pipelines that ingest, validate and structure large, heterogeneous datasets, and builds analyst-facing data products such as curated datasets, data models, serving layers and query interfaces. Establishes and maintains the data platform across cloud and on-premise environments, covering storage, compute, orchestration, access control and infrastructure-as-code, within Defence and partner security constraints. A senior individual contributor role setting data engineering standards, mentoring colleagues and shaping data architecture.

Reed Technology · Guildford · £55,000 – £75,000 pa

Designs, builds and optimises enterprise-scale data pipelines, ETL/ELT processes and lakehouse/warehouse solutions using Microsoft Fabric and Azure services. Works closely with analysts, developers and business stakeholders on data quality, governance and architecture, and mentors junior team members. Hybrid role with two days on-site.

CBSbutler Holdings Limited trading as CBSbutler · London · £70,000 – £80,000 pa

Hands-on engineering role building, maintaining and optimising data pipelines using KDB+/q and Python, working with large financial datasets and high-performance data solutions in a banking environment. Sits within a capital markets context, with banking or financial services experience considered an advantage.

Copello · Birmingham · £60,000 – £80,000 pa

Designs and maintains end-to-end data pipelines for large, complex datasets, transforming data into insights, analytical tools and dashboards. Works with software engineers, researchers and technical specialists on projects supporting national security infrastructure, with a focus on automation and process improvement in Linux-based environments.

TRIA · London · £90,000 – £95,000 pa

Hands-on technical leadership role within a small data engineering squad, setting engineering standards while building scalable pipelines in Python, SQL and Snowflake. Involves data modelling, integrations, performance and reliability work on an Enterprise Data Platform, plus mentoring engineers and shaping architecture with AWS cloud technologies.

Jackson Hogg · Sunderland · £55,000 – £65,000 pa

Builds and maintains ETL/ELT pipelines, integrating data from multiple systems and external providers into an Azure-based data estate. Develops scalable data models and improves monitoring, testing and platform performance while supporting data quality and governance. Works with data engineers, BI specialists and business stakeholders to deliver trusted reporting datasets.

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.

hireful · Bristol · £80,000 – £90,000 pa

Owns the design and build of scalable data pipelines and data products on Databricks using PySpark, Spark SQL and Delta Lake, plus ETL/ELT optimisation and enterprise data architecture. Partners with Finance, Product, Sales, Marketing and Engineering stakeholders, embeds data quality and governance, and mentors a junior engineer in a small, high-impact team.

Adria Solutions · Manchester · £70,000 – £90,000 pa

Hands-on lead role owning an existing data estate and building a modern, scalable platform supporting BI, Data Science and Applied AI. Involves modernising SQL Server, SSIS/SSDT and Power BI, building lakehouse architecture on AWS, streaming with Flink, Terraform and CI/CD, plus line-managing a small team of Data Engineers.

Opus Recruitment Solutions · Liverpool · £400 – £500 pd

Hands-on role migrating an established reporting estate into a modern Microsoft Fabric environment, covering data ingestion pipelines, data modelling and semantic layer design. You will also build Power BI reports, optimise SQL and ETL processes, and coach analysts and report developers on new tools and best practices.

Reperio Human Capital · Dublin, Ireland · £345 – £388 pd

Own the technical strategy and architecture for a data and analytics engineering function, leading a team of Data Engineers on a Microsoft Fabric platform. Responsibilities span data modelling, pipeline engineering standards, and end-to-end platform reliability, scalability and cost, with SQL and Python plus a modern cloud data platform such as Azure, Databricks or Snowflake.

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.

CV-Library · Fleet

Hands-on technical leadership of an AWS-based data platform, setting strategy while designing solutions, reviewing architecture and code, and building batch and streaming pipelines. Owns data architecture, quality, observability and IaC/CI-CD adoption, and mentors a team of data engineers alongside analysts and data scientists.