Data Engineer
Eurobase People · London, England ·
Last confirmed by our partners on 29 Oct 2026.
The focus is on engineers who can build scalable data pipelines, develop cloud-based data platforms and deliver reliable data infrastructure to support analytics, machine learning and AI-driven applications.
I'm particularly interested in professionals who enjoy solving complex engineering problems, improving data reliability and taking ownership of technical solutions from design through to production.
Key responsibilities
- Design, build and maintain scalable ETL/ELT pipelines using Python and SQL.
- Develop and optimise data processing workflows across cloud-based environments.
- Build and maintain data platforms using technologies such as Databricks, Snowflake and cloud-native services.
- Work with large datasets using Apache Spark and distributed processing frameworks.
- Implement data quality checks, testing, monitoring and pipeline observability.
- Collaborate with analytics, software engineering, product and machine learning teams.
- Strong commercial experience with Python and SQL.
- Experience building and maintaining production data pipelines.
- Hands-on experience with AWS, Azure or GCP.
- Understanding of data modelling, warehousing and ETL/ELT architecture.
- Experience troubleshooting data quality, performance and reliability issues.
- Familiarity with Git, testing and software engineering best practices.
Market data from EasyWorkClub, not from the employer
Typical pay for Data scientist in London: £62,000 – £103,600, from 258 adverts
1937 new adverts for Data scientist in London in the last 30 days
Remote or home office in 13% of 867 Data scientist adverts we list nationwide
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