Lead Analytics Engineer | Permanent | London/Hbrud) Series C Scale-up | $70m raise
My client are a fast-scaling, D2C brand who’s mission is simple – Improve wellness and health.
Their platform supports over 2M consumers (and counting!). Next steps? Moving deeper into science and aggressive expansion across Europe. E
Data/Analytics is the backbone of their platform: from APIs and pipelines to governance and observability.
Greenfield impact – Inherit a live but early function, define best practice across modeling, testing, observability, and governance.
Direct product impact – Your models and marts power decisions and features that 2M+ consumers rely on every day.
AI at the core – enable experimentation and intelligent decisions with high-quality datasets
What you’ll be doing:
- Own the analytics platform end-to-end: set the roadmap for models, metrics and data contracts; choose/evolve tooling and standards.
- Build the golden layer: design high-trust dbt marts and a documented semantic layer that powers product features
- Ship with reliability: stand up observability (tests, freshness, lineage, cost), enforce SLAs, and keep pipelines fast and resilient..
- Be the multiplier: mentor analysts/engineers as the team grows, partner with Product/Eng/Brand, and turn business questions into data products that move the needle.
Stack:
- dbt
- Python
- BigQuery, Cloud Composer/Run and Cloud Storage
- CI/CD
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