Data Engineering Jobs

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.

Hays Technology · Birmingham · £47,389 – £63,306 pa

Joins a major data and reporting transformation programme, replacing legacy reporting with a modern Power BI environment. Leads requirements workshops, translates business needs into technical specs, and supports semantic model design, data lineage and UAT alongside data engineers and senior stakeholders.

Michael Page · Nottingham · £55,000 – £57,000 pa

Builds and maintains data pipelines, ETL processes and data warehouses for a global commercial retailer, optimising databases for performance and scalability. Works with SQL, Python/Java/Scala and Azure tooling such as Data Factory, Logic Apps and Databricks, reporting into the Lead Data Engineer. One day per week onsite in Nottingham.

Spencer Rose · Manchester · £380 – £400 pd

Build and maintain secure, scalable applications within an agile, cross-functional team at a Tier-1 banking client. Work spans modern Java engineering, microservices, Kafka streaming, cloud platforms, data engineering and quality automation, with two days a week required on-site in Manchester.

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.

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.

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.

Principal IT · Lincoln · £45,000 – £47,000 pa

Hands-on role designing and maintaining business-critical applications, SQL Server databases and reporting across a Microsoft stack. Day to day involves Power Platform and .NET development, Power BI dashboards with DAX, SSRS reports, ETL pipelines and system integrations, working with both technical teams and business stakeholders on transformation projects.

Synapri · Sheffield · £65,000 – £75,000 pa

Owns the curated data layer within a Databricks Lakehouse, designing dimensional and semantic models and building complex SQL and PySpark transformation pipelines. Defines KPI logic, conformed dimensions and data quality standards, leads modelling design reviews and mentors engineers while working with architects, BI developers and business stakeholders. Remote with ad-hoc client site travel.

Opus Recruitment Solutions · Newcastle upon Tyne · £600 pd

A Data Architect role on a New Style Modernisation project, bridging data stakeholders, theme teams and Dataworks to define data structures, processes and systems. Responsibilities include data modelling, MDM, metadata management, data governance and event-based architecture, ensuring data flows meet National Statistics and auditing requirements. Mostly remote with three to four days a month on-site in Newcastle.

Damia Group · London · £400 – £450 pd

Hands-on data engineering role on a major data transformation and cloud modernisation programme in a regulated banking environment. You will design, build and optimise ETL/ELT pipelines using Databricks, Python, SQL and Oracle, migrate legacy data assets to modern cloud architectures, and troubleshoot production issues. Delivery-focused rather than a technical lead position, working independently with business and technology stakeholders.

Harnham - Data and Analytics Recruitment · London · £60,000 – £65,000 pa

Lead client-facing analytics engagements, translating business challenges into analytical solutions and presenting insights to technical and non-technical audiences. Work with large complex datasets, developing SQL-based solutions and scalable reporting frameworks, and building dashboards in Tableau, Looker or similar BI platforms. Collaborate with data, engineering and consulting teams while managing project timelines, risks and governance.

Barclays · Glasgow

Owns the optimisation and strategy of transaction monitoring controls across Barclays UK and International, tuning surveillance systems and developing detection solutions. Involves data exploration with SQL, Scala, Spark and Python, plus governance and escalation within a regulated financial crime environment.

Infinitive Resources · York · £350 – £450 pd

The Data Engineer will design, develop, and maintain robust data pipelines to collect, process, and store data from various sources within Network Rail’s routes. They will ensure data quality, integrity, and availability, and collaborate with the data visualisation team to create insightful and user-friendly visualisations. The role involves working with railway industry data, implementing data governance standards, and ensuring compliance with legal and regulatory requirements.

Bright Purple · Bedford · £400 – £475 pd

Hands-on contract role on a major digital transformation programme, migrating and integrating data from legacy applications into a modern cloud platform. Day to day involves building Python and Azure SQL pipelines, writing complex T-SQL transformations, and resolving data quality and reconciliation issues. Also supports API-based system integrations and CI/CD work in Azure DevOps.