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

Nice to have:

• Experience with Cube Cloud or similar semantic layers
• Familiarity with SQL generation tools (e.g. SQLGlot, Pypika)
• Experience with Google Vertex AI / Gemini
• Experience with orchestration tools like Prefect

Who you are

You are someone who:

• Delivers value consistently, not just in the early stages
• Prioritizes effectively and avoids unnecessary complexity
• Thrives with ownership and autonomy
• Builds systems that last and scale
• Prefers optimizing existing tools over chasing new ones

Why Enhanza?

• Build cutting-edge AI and data infrastructure from the ground up
• Join a small, experienced team with high trust and real ownership
• Work from a premium office in central Stockholm
• Opportunity to make real technical impact