Data Engineering Jobs

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.

Head Resourcing · Falkirk · £60,000 – £70,000 pa

Leads data modelling, transformation and governance to turn data into trusted insights for operational and commercial decisions. Builds scalable data solutions using SQL, dbt, Power BI semantic models and a modern cloud platform such as Databricks, while managing stakeholder and vendor relationships to support a five-year data plan.

Real · Berkshire · £500 pd

Hands-on Data Engineer to design and build pipelines and data models on a greenfield Microsoft Fabric platform, supporting the end-to-end implementation of a new enterprise data environment. Involves shaping architecture, integration processes and best practice while working closely with business and technical stakeholders.

Matchtech · Surrey · £50,000 – £75,000 pa

Design, build and run scalable batch and streaming data pipelines and data models that turn complex sensor and geospatial sources into reliable datasets for analytics and machine learning. Work across Azure plus edge and on-prem deployments with data scientists, analysts and platform engineers in a Kanban team, supporting embeddings and LLM-enabled conversational analytics.

Palantir Technologies · Laurel, United States · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with government customers to design and build end-to-end solutions, moving from ambiguous problem statements through system design, prototyping, application development and data integration. Work spans Palantir platforms, open source tooling and custom builds using Java, Python, TypeScript/React, Spark and AWS, with frequent on-site customer collaboration.

Harnham - Data and Analytics Recruitment · London · £100,000 – £120,000 pa

Own the design, build and delivery of a modern enterprise cloud data platform for a large UK financial services organisation, leading migration off legacy environments. Responsibilities span platform strategy and architecture, building and scaling a data engineering function, supplier management, and embedding governance, security and data quality standards in a regulated setting.

Additional Resources · Alloa

Day-to-day work centres on managing and analysing operational data from renewable energy assets, including SCADA telemetry, to monitor output, availability, downtime and faults. You will build Python-based models and automated pipelines, create dashboards and reports, and check contractor performance against contractual KPIs. The role also involves troubleshooting data infrastructure such as networks, VPNs and industrial routers.

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £75,000 – £84,000 pa

Hands-on role supporting, improving and scaling an enterprise Azure-based data platform, ensuring it stays reliable, secure, observable and production-ready. Day to day involves Microsoft Fabric, Azure Databricks, CI/CD, Terraform, monitoring and incident resolution, working closely with Architecture, Security and Infrastructure teams.

Palantir Technologies · Kitsap, WA · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with government customers to scope and build data-driven solutions, often starting from open-ended operational questions. The role spans architecture discussions, large-scale data wrangling, custom web app coding and executive briefings, with end-to-end ownership in small, lightly supervised teams.

Tenth Revolution Group · Reading · £60,000 pa

Hands-on role building and evolving scalable data pipelines on a Microsoft-based platform, using Databricks, SQL, Python and PySpark. Covers ETL, data integration, transformations, data warehousing and SQL performance, working with technology and business teams to turn requirements into reliable data solutions.

Tenth Revolution Group · Oxford · £50,000 – £60,000 pa

Hands-on role building and maintaining scalable data pipelines on Databricks, integrating new sources and optimising ETL and transformation processes. You will develop SQL and Python/PySpark transformations, tune queries, stored procedures and database objects, and help mature a modern Microsoft data platform within a Data & Innovation team, contributing to CI/CD and Git practices.

VIQU IT Recruitment · London · £100,000 – £110,000 pa

Lead large-scale data transformation programmes for an insurance organisation, owning the roadmap from planning through delivery and supporting adoption of an Enterprise Data Platform. Work across business, IT and data teams to define requirements, track value from data and AI initiatives, and manage risks, budgets and governance. Hybrid role with three days per week in a London office.

Gleeson Recruitment Group · Coventry · £38,000 pa

Build and maintain ETL/data pipelines, improve data quality and deliver reliable reporting and insights for a retail business investing in its data function. Work with Python, SQL and Excel, with data modelling and database design, in a collaborative team. Azure, Power BI and Git/Azure DevOps are nice to have.

Syntax Consultancy · Leeds · £60,000 – £65,000 pa

Hands-on Data Engineer maintaining production data pipelines on Databricks and AWS, combining L2/L3 production support with engineering work. Responsibilities include incident investigation, root cause analysis, remediation, and performance troubleshooting across Spark, Delta Lake, and AWS services. Part of a large-scale Government project, working primarily from home with occasional Leeds office travel.

Noir · Newcastle upon Tyne · £45,000 – £80,000 pa

Builds and optimises high-quality data pipelines processing large volumes from internal and external sources, and helps maintain a central data platform supporting investment decision-making. Works closely with business stakeholders on how data is accessed, tested and leveraged, using SQL, Python, AWS, Git and Airflow. Requires direct hedge fund sector experience.