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.

Palantir Technologies · Washington, United States · US$145,000 – US$200,000 pa

Owns model-serving infrastructure end-to-end, building high-performance inference systems that run across air-gapped government networks, edge nodes and data-sovereign enterprises. Works across the full stack from GPU scheduling and container orchestration to deployment pipelines and observability, using Java, Rust, Python and Go with Docker and Kubernetes.

Palantir Technologies · New York, United States · US$145,000 – US$200,000 pa

Owns end-to-end services for deploying and serving ML models across air-gapped government networks, edge nodes, and data-sovereign enterprises with constrained GPUs. Work spans inference engines, GPU scheduling, packaging and deployment pipelines, observability, and integration with Palantir's platform, using Java, Rust, Python, Go, Docker and Kubernetes.

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

Builds and scales a Microsoft Fabric data platform as the central source of truth for reporting and analytics. Develops Bronze, Silver and Gold architectures, integrates data into Lakehouse environments, and creates pipelines with Python, SQL and PySpark. Works with a Lead Data Engineer and a team spanning engineering, governance and analytics.

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.

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.

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.

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.

Intec Select · London · £80,000 – £90,000 pa

Analyse, design and implement enhancements to financial crime and surveillance platforms including transaction monitoring, sanctions screening and market surveillance. Hands-on Python, PowerShell, .NET and Power BI work, plus data engineering with Snowflake, SQL, MongoDB and Kafka, root cause analysis, audit support and ML model tuning within a bank's compliance technology team.