Lead Analytics Engineer

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