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
Azure Data Engineer
Builds and maintains Azure-based data pipelines and ELT/ETL processes using Azure Data Factory, Synapse, and Fabric to deliver clean datasets for analytics and reporting.
Azure Data Engineer
Build and optimize Azure-based ETL pipelines with Databricks and Spark, migrate SSIS to cloud, and design secure data lakes for analytics and reporting.
Data Engineer, Fraud
Build and maintain scalable data pipelines and storage systems to power fraud detection, analytics, and reporting using Python, SQL, and orchestration tools like Airflow.
Principal Data Engineer
Principal Data Engineer builds and modernizes cloud data pipelines using Azure, Databricks, and Terraform, mentors engineers, and supports migration from legacy systems while aligning with business needs.
Senior Data Engineer
Design and build a scalable data infrastructure for a global PE fund using Snowflake, dbt, and Azure Data Factory to support analytics and AI initiatives across investment teams.
Senior Data Engineer
Build and maintain scalable data pipelines and ETL processes in Python and SQL, using Snowflake, Airflow, and Kafka to deliver high-quality commodity-market data for analytics and AI-driven insights.
Principal Data Engineer
Lead a team of data engineers to design and deliver secure, scalable data solutions for critical energy and infrastructure projects, using cloud platforms and modern data practices.
Senior Data Engineer: Data Mesh & AI-Driven Platform
Design and build scalable data infrastructure using Snowflake, dbt, and Azure Data Factory to streamline operations and improve data access for a private equity firm.
Senior Data Engineer
Senior Data Engineer builds cloud-native pipelines, AI/ML infrastructure, and APIs for an InsurTech company using AWS, Snowflake, Python, and SQL.
Senior Data Engineer
Design and build scalable data lakes, warehouses, and pipelines using Python, SQL, and cloud platforms to power analytics and reporting for a financial-services company.
Staff Data Engineer
Build and maintain scalable data pipelines and warehouses for a fast-growing InsurTech, using cloud platforms and ETL tools to deliver clean, reliable data for analytics and business decisions.
Cloud-Scale Data Engineer: Azure, Databricks & AI
Builds scalable data pipelines and infrastructure for an automotive AI platform using Python, Azure, and Databricks.
Consultant Data Engineer
Design and build cloud data pipelines using Azure Data Factory, Synapse Analytics, and SQL Server to support analytics and AI across complex infrastructure programmes.
Cloud Data Engineer
Designs and maintains scalable AWS-based data pipelines using SQL, Spark, Kafka, and Python to process large datasets and deliver analytics for business insights.
Senior Cloud Data Engineer: Big Data Pipelines & AWS
Build and maintain scalable data pipelines on AWS, using Hadoop and Spark to deliver analytics that power business decisions.
Lead Data Engineer: Architecting Scalable Data Pipelines
Principal Data Engineer designs and builds scalable data pipelines for financial crime risk insights and compliance operations at a fintech company.