Senior Analytics Engineer

About the role

This is not about maintaining a data stack – it’s about building the future of it.

You will drive the transition toward an agentic AI architecture where data, code, and AI work together seamlessly. This includes:

Architecting and developing the data platform with a code-first approach

Building and evolving metric layers and data models (dbt)

Developing internal tools and IP, such as a custom Python-based SQL compiler

Integrating AI (e.g. Google Vertex AI / Gemini) to enable intelligent data access

Ensuring scalability, security, and multi-tenant architecture

You will be the authority in this space – there is no senior architect above you to rely on.

We’re looking for someone who

Has a genuine passion for code, data, and systems – and approaches problems with a software engineering mindset.

You are:

A strong Python developer (OOP, type hinting, Pydantic)

Highly experienced with dbt Core and modern data modeling

Comfortable working code-first (not drag-and-drop tools)

Experienced with AI coding tools (Copilot, Cursor, etc.) – but maintain full control over your code

Capable of designing scalable, robust data architectures