Senior Data Engineer

London
3 months ago
Applications closed

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Senior Data Engineer

Senior Data Engineer – AI & Data Orchestration

London (Hybrid)

Salary: Up to £60,00 to £80,000 + Equity + Bonus.

Stop building pipelines that just move data. Start building intelligence.

Our client is a fintech company at the intersection of behavioural science and financial technology. They don’t just crunch numbers — they understand why people make the decisions they do, and they’re using AI to make those insights scale.

They’re looking for a Senior Data Engineer who gets excited about turning messy, multi-source data into elegant, AI-ready architectures. This person will be the architect behind the curtain, making sure their behavioural scientists, ML engineers, and analysts have the rocket fuel they need.

What they’ll actually do:

  • Build rock-solid data pipelines across AWS (S3, Glue, Athena, Bedrock, OpenSearch) and Microsoft (Fabric, Power BI)

  • Wrangle data from everywhere: RDS, MongoDB, HubSpot, S3 lakes — you name it

  • Create the data foundations for their AI/ML initiatives (RAG workflows, LLMs, embeddings)

  • Make Power BI dashboards that actually refresh when they’re supposed to

  • Implement governance that doesn’t make people want to scream (metadata tagging, lineage tracking, the good stuff)

  • Collaborate with brilliant behavioural scientists and product teams who’ll challenge them in the best ways

    The ideal candidate will:

  • Know their way around AWS data tools (Glue/PySpark, Athena) and Microsoft Fabric

  • Be able to write clean Python and SQL in their sleep

  • Have battle scars from integrating CRMs (HubSpot, Salesforce) via APIs

  • Actually care about data quality, not just “it ran successfully”

  • Get a kick out of making complex data architectures simple and elegant

  • Be able to explain technical decisions to non-technical humans

    Bonus points:

    Experience with Delta Lake/Iceberg, real-time streaming, or LLM orchestration

    What’s on offer:

  • Work on genuinely interesting problems (behavioural + financial data = never boring)

  • Shape the data strategy from the ground up — real influence, not ticket-shuffling

  • Hybrid working with actual flexibility

  • EMI equity scheme (because they believe people should share in what they build)

  • Collaborate with world-class behavioural scientists and researchers

  • Performance bonuses tied to real outcomes

    The practical bit:

  • Location: London-based, hybrid model

  • Salary: Up to £80,000

  • Reports to: CTO

  • Team vibe: Small, smart, collaborative — your voice matters from day one

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