Analytics Engineer

📋 Description

• Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture
• Own tracking plan implementation and QA directly in Segment and Amplitude in close partnership with
• Support experimentation by modelling assignment and outcome data into structured formats that
• Define and document metrics in our semantic layer, ensuring a single authoritative definition so
• Apply AI-augmented data modelling practices as a standard part of how you write, review, and
• Partner with Product Managers and Analysts to turn one-off questions into durable, reusable data

🎯 Requirements

• Solid SQL and dbt experience, with a clear comfort owning models end to end.
• Working knowledge of event-based tracking tools like Segment or Amplitude.
• Experience with Git-based development workflows, including opening and reviewing pull requests.
• Clear communication skills to explain data definitions and structures to both technical and
• Genuine day-to-day use of AI tooling as part of your standard coding and workflow routine.
• Comfort navigating ambiguity and untangling legacy logic to build modern foundations.

🎁 Benefits

• Your own Pleo card (no more out-of-pocket spending!)
• Lunch is on us for your work days—enjoy catered meals or receive a lunch allowance based on your
• Comprehensive private healthcare depending on your location (coverage options include Vitality
• 25 days of annual holiday plus public holidays, with the option to purchase 5 additional days
• Flexible working options supporting both hybrid and fully remote setups.
• Free mental health and well-being support through MyndUp.