Analytics Engineer

Role Overview

As Analytics Engineer, you’ll be the analytical backbone of the ecosystem, combining deep technical craft with strong business partnership to build core data products.

What You Will Do

Manage the full lifecycle of warehouse data products, enable the Data Mesh, automate regulatory reporting, and partner on platform & agentic infrastructure.

Why It Might Be a Fit

This role needs someone with a data product owner mindset who thinks beyond the pipeline to the end user, focusing on the decisions they need to make and how the data product unlocks value.

Requirements

• Expert in SQL
• Proficient in Python for scripting and pipeline work
• Strong data modeler with experience designing scalable, future-proof models
• Deep experience with dbt or other semantic modeling tools
• Familiarity with workflow orchestration
• Experience with Git and CI/CD
• Comfortable presenting methodology and findings to both technical and non-technical partners
• Proven ability to drive cross-functional alignment
• Self-starter who takes ownership and drives projects forward with minimal oversight

Benefits

• Private insurance for you and your family
• Psychological support with Serenis
• Mental health workshops
• Stock Option Plan
• Meal vouchers
• Relocation support
• Professional development programs
• Internal mobility
• Language courses with Preply
• Unlimited PTO
• Hybrid working policy
• Flexible working hours
• Enhanced parental leave
• Additional leave for child sickness