Data Engineer (FinTech)


DATA ENGINEER

Up to £70,000 + Benefits
London (Hybrid)

This is a great opportunity to join a high-growth FinTech where you can take ownership of the data infrastructure and decisioning systems that power a live lending platform.

THE COMPANY:

Thisis a fast-growing FinTech lender entering an exciting growth phase, supported by new funding. Rather than relying solely on traditional credit scoring, the business uses a broader range of financial and income data to provide a more personalised lending experience.

THE ROLE:

You will take ownership of the infrastructure, pipelines and production processes that support the company's credit decisioning platform.

Key responsibilities include:

  • Designing, building and maintaining production data pipelines across the lending lifecycle
  • Developing, deploying and maintaining AWS Lambda-based decisioning processes
  • Building and improving ETL/ELT workflows that support analytics, reporting and credit decisions
  • Managing APIs and data integrations across internal and external data sources
  • Improving monitoring, reliability, testing, documentation and production controls

This is a unique opportunity to become a foundational engineering hire within a small, ambitious team where you will have genuine ownership and visibility across the business.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

  • Python development
  • AWS services including Lambda, EC2, CloudWatch and RDS
  • SQL and database development, ideally with PostgreSQL
  • Building, deploying and maintaining end-to-end production pipelines
  • API development, integration and monitoring within live environments
  • Experience within Lending, FinTech, Banking or Financial Services
THE BENEFITS:

You will receive a salary of up to £70,000 depending on experience, along with the opportunity to take ownership of a critical function within a rapidly scaling FinTech business.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.


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