Data Engineering Jobs in United Kingdom
There are 5,008 open Data Engineering jobs in United Kingdom on freehire right now. 2,751 of them were posted recently. The skills employers ask for most often are python, sql and data-pipelines.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| GBP | year | £65,000 | £85,000 | £95,000 | 273 |
| GBP | day | £500 | £650 | £675 | 54 |
| USD | year | $78,884 | $86,767 | $158,125 | 10 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- python 47%
- sql 46%
- data-pipelines 45%
- cloud 43%
- data-engineering 42%
- analytics 40%
- ai 30%
- azure 28%
How the work is done
- Hybrid 1,145 · 23%
- Remote 217 · 4%
- Onsite 25 · 0%
Visa sponsorship offered in 26% of the 224 postings that state a position on it.
Seniority
- Senior 1,364
- Lead 661
- Principal 176
- Staff 111
- C-level 96
- Junior 76
Who is hiring
- 1000+ employees 415
- 501-1000 employees 210
- 51-200 employees 66
- 11-50 employees 58
- 201-500 employees 12
- 1-10 employees 6
SC-Cleared Data Engineer - AWS, Pipelines & Data Platforms
Builds and optimizes secure data pipelines and integration solutions for a UK government program, using AWS, while collaborating with Agile teams to deliver high-quality data products.
Data Engineer – 3-6 Month Contract
Builds an AI-powered BI assistant from scratch, integrating Claude/MCP with BigQuery/dbt, Metabase, and GitHub to automate routine BI queries while handling complex cases. Focuses on solo project ownership, evaluation, and deployment in a hybrid team setting.
Data Engineer: Microsoft Fabric & Lakehouse, Hybrid UK
Builds and maintains production-grade data pipelines using Microsoft Fabric and Azure for regulated UK clients, ensuring scalable, governed datasets for analytics. Works cross-functionally with data teams on hybrid projects.
Investment Risk Analytics & Data Engineer
Build and maintain risk models and data pipelines for private markets at M&G in London, using Python, DataBricks, and PowerBI to support regulatory and board reporting.
Staff Data Platform Engineer – GTM Foundations
Own the data foundation for account/contact data—resolving duplicates, building hierarchies, and enriching CRM with firmographic/technographic signals—using dbt, Snowflake, Airflow and LLMs in partnership with GTM and RevOps teams.
Snowflake Data Engineer: Build Pipelines & AI-Ready Systems
Morgan Stanley is seeking a Director-level Data Engineering Specialist to build and maintain data infrastructure for Data AI platforms, involving hands-on development, pipeline creation, and data modeling using Snowflake, Databricks, Python, Spark, and cloud services.
Data Governance and Delivery Manager - Macquarie Group
Data Governance and Delivery Manager responsible for strengthening data foundations that enable reliable reporting, regulatory compliance, and informed decision-making across Macquarie's EMEA region, working closely with senior stakeholders.
Data Engineer
Data Engineer designing and building ETL pipelines, data warehouses, and data lakes on AWS for diverse client projects, working hybrid from Manchester with cross-functional teams.
Head of Innovative Devices Process, Systems & Data Governance
Oversee strategic programmes and data governance for regulatory operations in healthcare, translating policy into operational systems and processes.
Real-Time Data Engineer
The Real-Time Data Engineer will design and deliver cloud-native, real-time data pipelines and event-driven data platforms as part of a major data transformation programme.
Lead Data Engineer
Designs and maintains a scalable Databricks-based data platform for analytics, AI, and ML, leading a small team and setting technical standards for enterprise data architecture.
IT Data Platform Engineering Manager
Manage a technical data team and oversee data platform engineering, with deep hands-on knowledge of Azure data services (Databricks, Data Factory, Data Lake, Synapse) and lakehouse architectures.
Senior Data Engineer - Energy
The Senior Data Engineer will build and maintain production data pipelines using Python, SQL, Databricks, and Spark. The role involves collaborating with stakeholders to translate business requirements into effective data models within the energy sector.