Data Engineering Jobs in United Kingdom
There are 5,089 open Data Engineering jobs in United Kingdom on freehire right now. 2,750 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 47%
- sql 46%
- data-pipelines 45%
- cloud 44%
- data-engineering 43%
- analytics 41%
- ai 30%
- azure 29%
How the work is done
- Hybrid 1,174 · 23%
- Remote 231 · 5%
- Onsite 27 · 1%
Visa sponsorship offered in 28% of the 234 postings that state a position on it.
Seniority
- Senior 1,381
- Lead 671
- Principal 185
- Staff 108
- C-level 100
- Junior 75
Who is hiring
- 1000+ employees 435
- 501-1000 employees 219
- 51-200 employees 67
- 11-50 employees 58
- 201-500 employees 13
- 1-10 employees 6
Senior Data Engineer: Python, Databricks on AWS
Design and maintain data pipelines for financial datasets using Python, PySpark, and AWS services like Databricks, ensuring data quality and security for regulatory reporting.
Senior Palantir Data Engineer: Scale & Impact
Senior Data Engineer at Kainos in Belfast building and scaling Palantir-based data pipelines on AWS/Azure/GCP/Databricks to support large-scale government systems.
Hybrid Data Engineer: Cloud Pipelines & Serverless ETL
Builds serverless cloud pipelines on GCP to process audience measurement data, using Python and event-driven patterns while collaborating with data scientists to productionize models.
Azure Data Engineer: Databricks & Cloud Pipelines (Hybrid)
Design, build, and optimize Azure data pipelines using Databricks and cloud tools to migrate legacy systems and support analytics.
Databricks Data Engineer - Cloud Pipelines Lead (Hybrid UK)
Design and build cloud-scale data pipelines on Databricks using PySpark and Python, then lead teams to deliver end-to-end data transformations for UK clients.
Platform Data Engineer — Flexible, High-Impact Pipelines
Build and maintain scalable data pipelines from ingestion to delivery, ensuring reliability and data quality using Python/Java and cloud platforms.
Hybrid Data Engineer: Snowflake/Snowpark Pipelines
Designs and maintains Snowflake/Snowpark data pipelines in Python, ensuring clean data for customer analytics in a hybrid role.
Senior Search Data Engineer
Build and optimize scalable search infrastructure using Elasticsearch, Solr, and vector databases to power fast, intelligent user experiences in a SaaS platform.
Data Engineer (AWS) - £55k - ID38964
Lead the migration and optimization of legacy data systems to AWS, focusing on SQL, MySQL, Postgres, and Redshift for SaaS analytics and governance.
Security Engineer III - Data Engineer
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Data Engineer - Investment Platform
Build and maintain scalable data pipelines and models to unify fragmented private-market investment data into a clean, real-time platform using Python, Azure, and Delta Lake.
Lead Data Engineer — Serverless Data Platform
Lead a team building and scaling serverless data pipelines in Python and cloud services to power Ipsos’ audience measurement platforms.
Client-Facing SAS Data Engineering Consultant
Consultant designs and implements SAS-based data pipelines for clients, diagnosing data challenges and delivering analytics solutions.
Senior Consultant, Data Engineer
Senior Data Engineer designs and implements cloud data warehouses, ETL/ELT pipelines, and data models for clients across finance, healthcare, government, and other sectors.
Data Engineer - Audience Measurement
Build and optimize scalable data pipelines on GCP/AWS using Python, serverless services, and event-driven patterns to support audience measurement and analytics for a global research firm.
Google Cloud Platform Data Engineer
Principal GCP Data Engineer designs and builds scalable data pipelines using BigQuery, Dataflow, and Dataproc, leading teams to deliver robust, cloud-native solutions for clients.