Data Engineering Jobs

Palantir Technologies · London

Works deep inside the data processing infrastructure behind Palantir Foundry, on how computations are represented, query plans optimised, operators executed, and data read and written efficiently. Builds on and extends Apache Spark, DataFusion and Iceberg, taking on production problems such as writing planning rules or speeding up large table scans through design, code review, testing and release.

Palantir Technologies · London · US$10,500 pm

Works deep inside the data processing infrastructure behind Foundry, covering query plan optimisation, execution operators, and efficient data reads and writes. Extends open-source engines and table formats such as Apache Spark, DataFusion, and Iceberg, with work spanning design, code review, testing, and release. An internship aimed at students graduating in 2028.

Rise Technical Recruitment · London · £35,000 – £50,000 pa

Hands-on role developing and maintaining software with Python, Go and TypeScript, processing and validating live and historical sports datasets, and supporting AWS cloud infrastructure and production systems. Works closely with experienced engineers on SQL databases, troubleshooting and technical projects within the sports and betting sector.

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.

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.

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.

Snowflake · London

Build revenue pipeline by setting and leading discovery calls, qualifying use cases with target personas, and performing account research to grow Snowflake's footprint in EMEA's largest accounts. Work closely with Global Account Managers, Solution Engineers and Marketing on a multi-channel pipeline strategy, attending sales meetings, trainings and local trade shows.

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.