Data Engineering Jobs in United Kingdom
There are 5,082 open Data Engineering jobs in United Kingdom on freehire right now. 2,729 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 | £92,000 | 273 |
| GBP | day | £500 | £650 | £675 | 52 |
| 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 46%
- cloud 44%
- data-engineering 43%
- analytics 41%
- ai 31%
- azure 29%
How the work is done
- Hybrid 1,190 · 23%
- Remote 231 · 5%
- Onsite 27 · 1%
Visa sponsorship offered in 29% of the 231 postings that state a position on it.
Seniority
- Senior 1,376
- Lead 672
- Principal 185
- Staff 109
- C-level 99
- Junior 75
Who is hiring
- 1000+ employees 433
- 501-1000 employees 218
- 51-200 employees 66
- 11-50 employees 57
- 201-500 employees 13
- 1-10 employees 6
Senior Data Platform Engineer (Data Lake and Catalog)
Build and evolve Expedia’s data lake and catalog platform using Kotlin/Java, Spark, and AWS services to improve data discoverability and governance for analytics and product teams.
Senior Data Platform Architect — Hybrid Azure & DevOps
Design and build a modern Azure-based data platform, set up CI/CD pipelines, and mentor engineers using PostgreSQL, Python, and Terraform.
Data Platform Engineer
Builds and scales a data platform and pipelines for a trading business using Python, SQL, cloud tech, and data lakehouse tools like Apache Iceberg.
Data Platform Engineer
Design and build scalable data platforms and AI systems for enterprises, using AWS/Azure services, Python, and modern data architectures like data mesh/fabric.
Data Platform Engineer
Build and scale the core data platform for a fast-growing B2B SaaS business, extending Databricks lakehouse, AWS infrastructure, and reusable tooling so teams can move data safely and quickly from ingestion to analytics and AI.
Data Platform Engineer
Build and maintain a scalable data platform using Microsoft Azure and Fabric, designing pipelines and ensuring secure, high-quality data for analytics and ML.
Data Governance Engineer
Design and implement enterprise data governance frameworks, metadata management, and compliance controls using Google Cloud Dataplex and Atlan for a large telecom transformation program.
Data Platform Engineer
Build and optimize Snowflake data pipelines and models to power business insights across PizzaExpress’s operations, finance, and customer analytics.
Software/Data Engineer - Quant Hedge Fund - £250k+
A Data/Software Engineer at a quant hedge fund works on data ingestion, data management, application development, and extending their research data platform to support front office operations.
Principal Azure Data Engineer: Modernize & Secure Platforms
Principal Data Engineer designs and secures scalable Azure data platforms using Data Factory and Databricks, leading modernization and migration projects.
FX Data Engineer Contractor: Python & kdb+ in London
A contractor data engineer role focusing on developing and maintaining FX data pipelines using Python and kdb+.
Python & React Data Engineer — Databricks, SQL & Dashboards
DNS Info Ltd is looking for a skilled Python + React + SQL + Databricks developer to combine backend data engineering with frontend application development. This role involves building APIs, developing ETL pipelines,…
Senior Power BI & Data Engineer for Enterprise Analytics
Leads Power BI dashboard design and optimization, builds data pipelines with Microsoft Fabric, and ensures data governance for enterprise analytics.
Onsite Python Data Engineer in Birmingham - Audit & Risk
Designs, builds, and maintains Python-based data pipelines and SQL models to support audit and risk analytics for a UK-based technology services firm.
Data Engineer - Databricks, SQL & Python | Newcastle Onsite
Builds and optimizes data pipelines using Databricks, SQL, Spark, and Python to support investment management workflows, improving data processing and analytics for the firm.