Senior Data engineer - AWS - Fabric
Senior Data Engineer
London (Hybrid) | Up to £80,000 + Equity + Bonus
No Sponsorship given
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
Add Zoe Caplan-Williams on linked in for up to date jobs and news
- Company
- Vermillion Analytics
- Location
- London, South East, England, United Kingdom
Hybrid/Remote Options - Employment Type
- Full-Time
- Salary
- £65,000 - £85,000 per annum
- Posted
- Company
- Vermillion Analytics
- Location
- London, South East, England, United Kingdom
Hybrid/Remote Options - Employment Type
- Full-Time
- Salary
- £65,000 - £85,000 per annum
- Posted