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
Data Engineer
Builds and maintains scalable data pipelines using Databricks, SQL, and Python/PySpark to integrate data sources, optimize transformations, and enhance a Microsoft-based data platform for analytics and insights.
Data Engineer – Azure / Databricks / Remote
Build and maintain Azure-based data pipelines using Databricks and Python to ingest, process, and govern financial data in a layered data lake architecture.
Data Engineer
This 6-month contract role involves building and optimizing scalable data pipelines and analytics solutions for a media organization. The engineer will work extensively with AWS, Snowflake, dbt, and Airflow to support a major cloud data platform transformation.
Senior Azure Data Engineer
Build large-scale Azure Data platforms, data models, and Delta Lake infrastructure underpinning Databricks AI platforms as a senior engineer on a fully remote team.
Data Engineer – £55,000–£60,000
Hands-on Data Engineer building and improving a Microsoft Fabric data environment, developing ELT pipelines, optimising SQL and data models, and using Python for automation while collaborating with analysts and stakeholders.
Data Governance Consultant
The Data Governance & AI Consultant will deliver data governance frameworks, policies, and AI assurance strategies for UK Central Government and Defence projects. The role involves managing data quality, metadata, and responsible AI practices while working in a hybrid capacity in Bristol.
Data Steward - Associate OR VP
The Data Steward ensures high-quality, trusted data governance and stewardship across BlackRock’s Technology & Operations, driving data ownership, quality, and usability to support investment, AI, and operational workflows via the firm’s Data Marketplace.
Data Governance Coordinator
Coordinate data governance across datasets, ensuring ownership, quality, and transparency while embedding standards into processes and improving metadata and lineage tracking.
Lead Data Engineer
The Lead Data Engineer will design, build, and optimize complex data pipelines while leading multidisciplinary teams in a consultancy environment. The role focuses on delivering high-impact data solutions using cloud platforms like AWS, Azure, or GCP, alongside technologies such as Databricks, Python, and SQL.
Senior Data Engineer (Cloud, Data Integration & Migration)
Hands-on Senior Data Engineer designing, building, and supporting cloud-based data solutions—ETL/ELT pipelines, data integration, migration, data lakes/warehouses—across AWS and Azure platforms.
Data Engineer
Data Engineer building scalable data pipelines, integrating data sources, and optimizing high-performance data platforms within secure government environments.
Data Platform Engineer - Hybrid/Remote Azure Databricks Pro
Maintains and optimizes an Azure-based data platform for EMEA, ensuring reliability, security, and governance through automation and CI/CD pipelines.
Data Engineering Specialist (Snowflake)
Build and maintain data pipelines and infrastructure for Morgan Stanley's AI platforms, primarily using Snowflake, Databricks, and Python in a hybrid Glasgow office.