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
Data Engineering Manager
Lead a data engineering team to build and scale secure, high-integrity pipelines and warehouses using Python, Airflow, Databricks, and AWS, while enforcing governance and quality standards.
Data Engineer
Build and maintain scalable data pipelines for a high-traffic digital media group, using Python, SQL, Airflow, dbt, Spark, and cloud platforms like GCP.
Lead AI/ML Data Engineer
Lead AI/ML Data Engineer builds and deploys machine-learning features and data pipelines for Mastercard’s products, using Python, Spark, and cloud platforms.
Data Engineer
Design and build cloud-native data pipelines using Azure Databricks, SQL, Python, and Delta Lake for large-scale analytics and warehousing.
Data Engineer
Build and maintain scalable data pipelines using Python, SQL, and GCP services like BigQuery and Dataflow to power analytics for a leading fashion brand.
Data Engineering Lead
Lead a data engineering team to build and scale cloud-based data pipelines and models for a B2B fintech firm, using Python, SQL, and Azure.
Data Engineer
Build and maintain scalable ETL pipelines using Python, SQL, and AWS to process real-time and batch data for global brands.
Data Engineering Manager
Lead a small team of Data Engineers to build and maintain AI-driven customer interaction platforms using cloud, Snowflake, Python, Airflow, and Docker.
Data Engineer
Build a greenfield data platform for a supply-chain consultancy, designing scalable ingestion pipelines and transformations to replace manual spreadsheets and enable analytics.
Data Engineer
Build and maintain scalable ETL pipelines using Python, SQL, AWS, and Apache Spark to power real-time and batch analytics for a global data-insights company.
Data Engineer
Designs and maintains data pipelines using Azure Synapse, Azure Data Factory, and SQL tools to support analytics in a manufacturing-focused compliance company.
Data Engineer
Build and optimize data pipelines with Airflow and SQL to power marketing and customer insights for major brands using modern data tools.
Staff AI Data Engineer - Rockerbox
Build AI-powered marketing intelligence systems: design data pipelines for AI agents, fine-tune LLMs for attribution and recommendations, and automate workflows using retrieval and orchestration layers.
Data Engineering Analyst
Build and maintain data pipelines on GCP (BigQuery, Dataflow) and create Power BI dashboards to deliver analytics for business stakeholders.
Data Engineering Lead
Lead the design, build and operation of a large-scale AWS data platform using Redshift, Glue, Lambda and Kinesis to deliver reliable analytics and insights for the UK rail industry.
Data Engineering Consultant
Build and optimize data pipelines using PySpark, Azure Databricks, and cloud platforms to deliver scalable analytics solutions for enterprise clients.
Data Engineering Consultant: Cloud, Databricks & AI
Build and optimize data pipelines using PySpark and Azure Databricks, integrating cloud infrastructure on AWS and Azure to support analytics and AI workloads.