Lead Analytics Engineer

Identify Solutions; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Identify Solutions is seeking a Lead Analytics Engineer in London to own and shape the analytics platform. You will define models, metrics, and data contracts, and build trusted data products powering decisions for a scale-up with a trans-continental expansion.

The role emphasizes building the golden layer with dbt, Python, and BigQuery, while ensuring observability, reliability, and cost controls. You will mentor growing teams and collaborate across Product, Engineering and Brand.

Qualifications

• Experience building end-to-end analytics platforms.
• Ability to mentor analysts/engineers as the team grows.
• Strong focus on data governance and observability.
• Hands-on with dbt, BigQuery and cloud data tooling.

Responsibilities

• Own the analytics platform end-to-end and set roadmaps.
• Design high-trust dbt marts and semantic layer for features.
• Stand up observability, tests, lineage, and SLAs for pipelines.
• Mentor analysts/engineers and partner with product/eng/brand.

Skills

dbt

Python

BigQuery

CI/CD

Observability

Mentoring

Tools

dbt

Python

BigQuery

Cloud Composer

CI/CD

Cloud Storage

Job description

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