Data Engineering Jobs in United Kingdom
There are 5,080 open Data Engineering jobs in United Kingdom on freehire right now. 2,739 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 1,171 · 23%
- Remote 230 · 5%
- Onsite 27 · 1%
Visa sponsorship offered in 28% of the 234 postings that state a position on it.
Seniority
- Senior 1,379
- Lead 669
- Principal 185
- Staff 108
- C-level 100
- Junior 73
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
Data Engineer – Value & Analytics
Build and maintain data pipelines and dashboards to measure product performance and customer behavior for a global education and cultural organization.
Cybersecurity Data Engineer
Build and maintain secure data pipelines and ETL workflows in Azure to ingest, clean, and deliver cybersecurity datasets for real-time analytics and SIEM/SOAR use cases.
Principal Data Engineer
Principal Data Engineer builds and scales Snowflake-based data warehouses and pipelines in Python/SQL, using DevOps tooling to support a fast-growing B2B FinTech lender.
Associate Director Data Engineer
Lead data engineering teams to design and deliver scalable data platforms for clients, using Databricks, SQL Server, and Microsoft Fabric in Azure.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for an insurance firm using MS-SQL, Azure Databricks, and Python to support reporting and analytics.
Risk Control Data Engineer
Build and optimize data pipelines and warehouses for JD.com’s e-commerce risk control systems using Hadoop, Spark, and Flink.
Principal Engineer, CoinDesk Data Engineering
Principal Engineer at CoinDesk leads the architecture and evolution of high-throughput crypto market data systems, processing billions of requests monthly and powering flagship indices for ETFs.
GCP AI/ML Data Engineer — Marketing Automation (London)
Builds AI-driven marketing automation pipelines on Google Cloud, designing ML workflows and managing data ingestion for adtech solutions in a London office.
Senior Data Engineer, ML & AI Platform — Hybrid London
Build and own cloud-native data and ML pipelines using Python and PySpark in a hybrid role focused on AI platform engineering.
Cloud Data Engineer
Design, migrate, and optimize SQL Server and cloud data platforms (Azure/AWS) for a bank, building ETL pipelines, data warehouses, and HA/DR solutions while ensuring security and compliance.
AI-Driven Data Platform Engineer
Designs and builds AI-driven data platforms on AWS/Azure using Python to optimize enterprise data strategies and transformations.
Senior Data Engineering Lead - Databricks on Azure
Lead a team to design and implement scalable data pipelines on Databricks for financial services clients, setting architecture standards and mentoring junior engineers.
Azure Data Engineer: Cloud Pipelines & Analytics
Designs and builds Azure-based data pipelines and cloud systems to ensure high-quality data for analytics and AI projects.
Principal Data Engineer
Principal Data Engineer designs and delivers secure, scalable data pipelines and cloud solutions for defence and government programmes, mentoring teams and deploying ML models.
Principal Engineer, CoinDesk Data Engineering
Principal Engineer at CoinDesk leading the architecture and evolution of high-throughput crypto market data systems, including REST APIs, WebSocket streams, and index calculations for institutional clients.
Hybrid Data Engineer: Cloud Pipelines on GCP
Build and maintain cloud-native data pipelines on GCP using Python, serverless tools, and IaC to support Ipsos’ audience measurement platforms.