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Senior​/Lead Data Engineer; Python & SQL; FinTech - AI Platform

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: GL Global
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 115000 - 140000 GBP Yearly GBP 115000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Senior/Lead Data Engineer (Python & SQL) - FinTech - New AI Platform
Location: Greater London

Senior/Lead Data Engineer (Python & SQL) - Fin Tech - New AI Platform

Our client, a Fin Tech Scale-Up, is building a brand-new AI-driven trading and market infrastructure platform and is hiring experienced Data Engineers to join a newly formed R&D engineering team in London.

This is a greenfield opportunity to help design and build scalable data platforms from the ground up, supporting real-time trading, analytics, AI/ML workloads and market data services.

We're looking for a Senior Data Engineer with particularly strong Python and SQL skills. Ideally, you'll have experience with Airflow, Snowflake and dbt and a strong Computer Science or similar technical background.

You'll have significant technical ownership from day one, working in a highly funded, fast-moving engineering environment with the stability, scale and resources of a major global financial institution behind you.

  • Build a brand-new data platform from the ground up
  • Work with Python, SQL, Airflow, Snowflake and dbt + more
  • Solve complex data challenges across trading, AI and market infrastructure
  • Work alongside highly experienced engineers and researchers
  • Take ownership of key technical areas
  • Clear opportunity to progress into a Team Lead role

If you're a Senior Data Engineer looking for the chance to build something new rather than maintain legacy platforms - and you're interested in progressing towards leadership - this is an opportunity worth exploring.

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Position Requirements
10+ Years work experience
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