Data Engineering Jobs in United Kingdom
There are 4,986 open Data Engineering jobs in United Kingdom on freehire right now. 2,717 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 | 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 46%
- 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 221 · 4%
- Onsite 24 · 0%
Visa sponsorship offered in 27% of the 225 postings that state a position on it.
Seniority
- Senior 1,355
- Lead 650
- Principal 182
- Staff 107
- C-level 99
- Junior 72
Who is hiring
- 1000+ employees 418
- 501-1000 employees 213
- 51-200 employees 66
- 11-50 employees 58
- 201-500 employees 12
- 1-10 employees 6
Python Data Engineer
Design and maintain data models, ETL pipelines, and warehouses in Python/SQL to support audit and risk analytics for financial clients.
Snowflake Data Engineer
Designs and builds Snowflake data pipelines and models, writes complex SQL, and collaborates with stakeholders to deliver analytics-ready datasets.
GIS Data Engineer
Process and automate geospatial datasets using ArcGIS, QGIS, and Python to support digitization workflows and ensure data accuracy for government projects.
Data Engineer – Fintech Platform & AI Ingestion
Builds and maintains data pipelines and AI-driven models for a fintech platform, ensuring high-quality financial data ingestion and reliability.
AI Interaction Data Engineer — Insights & Governance
Builds and governs data pipelines to capture and analyze human-AI interactions, enabling model researchers to improve AI systems using SQL, backend engineering, and scalable analytics.
Data Engineering Lead — UK (Manchester) | AI-Driven Platform
Lead a team to build and maintain data pipelines on BigQuery/GCP, ensuring reliable datasets for analytics and AI-driven initiatives across customer, commercial, and operations domains.
Head of Data Engineering — Scale Fintech Data Platform & AI
Lead a team to build and scale a modern data platform for a fast-growing fintech company using cloud technologies, Python, and SQL.
Senior Manager, Data Engineering
Leads data-engineering engagements for clients, designing cloud data platforms (AWS/Azure/GCP), building ETL pipelines, and coaching teams while advising on governance and modernisation.
Principal Data Engineering : Databricks
Principal Data Engineer builds and leads data pipelines and foundations using Databricks, PySpark, Python and SQL to enable an energy trading company to extract value from data.
Staff Data Engineer
Staff Data Engineer designs and reviews low-level data platform architectures in Azure/Databricks, ensuring scalable, secure, and maintainable solutions for Severn Trent’s data pipelines and governance.
Data Engineer - Software
Designs and refactors data pipelines and systems, bridging Python-based data science with C# software engineering to build scalable, maintainable data infrastructure.
Senior MLOps & Data Engineer
Build and maintain cloud-native MLOps and data pipelines for a biotech firm, deploying and scaling ML models in AWS/GCP while ensuring reliability, security, and reproducibility.
Senior MLOps & Data Engineer — Cloud AI Platforms
Senior MLOps & Data Engineer builds and maintains cloud-based AI infrastructure on AWS/GCP, deploys ML models, and creates data pipelines for a biotech company.
Staff Data Engineer
Lead the architecture and long-term vision for Beamery’s data platform, defining scalable solutions for AI-driven workforce analytics and ensuring trustworthy, high-performance data infrastructure for internal and external consumers.
Senior Data Engineer - Machine Learning Operations (MLOPS)
Senior role building and governing production-grade ML workflows on Databricks and Azure ML, using MLflow for tracking and CI/CD pipelines to safely move models from experimentation to production.
Data Engineer (PLM) – Engineering Data Migration
Lead migration of CAD models, BOMs and engineering docs from legacy systems into a new PLM environment for an aerospace transformation programme.