Data Engineering Jobs in United Kingdom
There are 5,071 open Data Engineering jobs in United Kingdom on freehire right now. 2,730 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 47%
- data-pipelines 46%
- cloud 44%
- data-engineering 43%
- analytics 41%
- ai 31%
- azure 29%
How the work is done
- Hybrid 1,189 · 23%
- Remote 230 · 5%
- Onsite 27 · 1%
Visa sponsorship offered in 29% of the 231 postings that state a position on it.
Seniority
- Senior 1,374
- Lead 671
- 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
Azure Data Engineer
Location: Hybrid - London Salary: Up to £60,000 We're working with a growing technology consultancy looking for an experienced Data Engineer to design and deliver modern Azure-based data solutions for a range of…
Data Engineer - Mid Level
As a Data Engineer at Oakland (now part of Softcat), you implement data platforms, business intelligence, web applications, and AI solutions for diverse clients across industries, working in cloud environments like AWS/Azure/GCP.
Senior Azure Data Engineer
Role Overview We are seeking an experienced Senior Azure Data Engineer with a background as a Business Intelligence Architect. The ideal candidate will possess exceptional technical, analytical, communication, and…
Head of Data Engineering
Our Company At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity. Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the…
Data Engineer
Builds and maintains large-scale data pipelines (batch/streaming) and AI-driven solutions to optimize retail operations, stock, and customer experiences at a major UK tech retailer. Core tech: Python, SQL, Databricks, cloud platforms, and DevOps tools.
Data Engineer
Build and optimize cloud-based data pipelines and warehouses for UK public-sector systems, using Python, Spark, Kafka and AWS/Azure/GCP to deliver secure, scalable analytics.
Data Engineer with Java
Build and own data ingestion pipelines (streaming and batch) for a London-based fintech, using Java 21/Spring Boot, Kafka, MS SQL Server, and Azure Databricks/Spark to turn banking and transactional data into actionable insights.
EMEA Data Governance Analyst
The Data Governance Analyst will support the management, quality and governance of enterprise data across EMEA. Working closely with the EMEA Enterprise Data Steward, this role will help ensure business-critical data…
Data Governance Manager
A Data Governance Manager at a UK Challenger Bank will champion data practices across the organization, implement data governance strategies, manage data catalogues, and improve data quality while working with AI tools for data management.
Data Engineer, Quantitative Platform
About Winton Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment…
Senior Data Engineer (Databricks)
Data Engineer (Databricks) – Marketing Analytics A global leader in the mobility and vehicle rental sector is looking for a Data Engineer with strong Databricks expertise to design, build and maintain the data…
Data Platform Intern: Engineering & Analytics
Build data pipelines and analytics tools for marketing campaigns using Python, SQL, and cloud platforms to deliver insights.
Lead Data Platform & AI Engineer
Lead the design and deployment of production-safe data pipelines and platforms on cloud (Databricks, Snowflake, AWS/Azure/GCP) using DataOps practices.