Data Engineering Jobs in United Kingdom
There are 5,021 open Data Engineering jobs in United Kingdom on freehire right now. 2,770 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 | £92,750 | 272 |
| 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 1,147 · 23%
- Remote 220 · 4%
- Onsite 24 · 0%
Visa sponsorship offered in 26% of the 224 postings that state a position on it.
Seniority
- Senior 1,369
- Lead 659
- Principal 174
- Staff 111
- C-level 97
- Junior 76
Who is hiring
- 1000+ employees 415
- 501-1000 employees 210
- 51-200 employees 66
- 11-50 employees 58
- 201-500 employees 11
- 1-10 employees 6
Data Engineer - Data & Insights
Builds and maintains a real-time customer data platform (CDP) called Atlas, focusing on event streaming, identity resolution, and Snowflake/dbt pipelines to unify customer data for media/entertainment insights.
Lead Data Engineer
The Lead Data Engineer will analyze and document a complex, legacy 1,100-table SQL Server estate for a financial services client using AI-assisted tools like Claude. This hybrid role involves mentoring a team, mapping data dependencies, and designing archiving strategies to modernize the client's database landscape.
DATA ENGINEER
The Data Engineer will design and maintain robust ETL pipelines, data APIs, and storage solutions to support rail industry analytics and software products. The role involves working with cloud platforms like AWS or Azure and collaborating in an agile environment to solve complex operational challenges.
Data Engineer – Azure Data Platform & Pipelines
The Data Engineer will build and maintain data pipelines and develop a self-serve data platform using Azure Databricks and Spark to support analytics across various business units at Boots UK.
AWS Data Engineer: Build Scalable Data Pipelines
Data Engineer building scalable AWS data platforms, designing ETL pipelines and data lakes, and collaborating with cross-functional teams to solve client challenges using Java, Python, Scala, Spark, and SQL.
Data Engineer
Build and maintain data pipelines and a self-serve data platform for Boots UK, using SQL, Python, Azure, Databricks, and Spark to support business decisions across domains like Pharmacy and Supply Chain.
Backend Engineer – Real-Time Data Platform (Rust)
The Backend Engineer will design and build distributed systems, storage infrastructure, and data pipelines for a sensor integration product using Rust and Python. The role involves owning architectural decisions and scaling systems to handle petabyte-scale data.
Senior Python Developer – Data Platform & ETL (London)
This role involves building a modern medallion data platform for a hedge fund, focusing on Python development, ETL pipelines, and distributed systems. The developer will work across data engineering, infrastructure, and frontend components within a collaborative team.
Data Engineer III - FMX
Designs and maintains Python-based data pipelines in Airflow, Snowflake, and Databricks to move sports-betting and e-commerce data reliably from source to warehouse for analytics and decision-making.
AWS Data Engineer
Builds and maintains large-scale data platforms and cloud-native solutions for enterprise clients, collaborating with architects and consultants to deliver modern analytics capabilities in a consultancy environment.
Director of Data Platform
Lead a global data team at a fintech company building brokerage infrastructure, overseeing data strategy, analytics, and AI initiatives while managing partner invoicing and embedded analytics for financial institutions.
Lead, Data Governance
Lead Alpaca’s data governance program: set classification, access, and protection standards for its global brokerage-data lakehouse and analytics stack, ensuring compliance with financial regulations and partner requirements.