Data Engineer, marta

• Strong SQL and data modeling skills – you think in data structures
• Hands-on experience with dbt or similar transformation tools
• Experience with cloud data warehouses (Redshift, BigQuery, Snowflake, etc.)
• A great understanding of BI and dashboarding – you know what good metrics look like and why bad definitions are expensive
• You can talk to non-technical stakeholders and negotiate priorities
• You work in a structured way, you document, and you genuinely enjoy bringing order to chaos

Desirable

• You'll be Marta's first dedicated data hire. You'll build the data foundation on which we scale analytics – and eventually ML – over the coming years
• In your first 12 months:
• Design and maintain our transformation layer (dbt or equivalent)
• Bring structure to our Redshift warehouse – clean it up, govern it, keep it healthy
• Define and document our core KPIs together with Product and Ops
• Own Metabase: clean dashboards, reliable numbers, self-service for teams
• Build data quality monitoring so problems surface before someone discovers them manually
• From around month 9 (in parallel):
• Build infrastructure for experimentation – A/B tests tracked and evaluated cleanly
• Enable self-service analytics so Product and Ops can answer their own questions
• Lay the groundwork a future ML Engineer can actually build on
• You’ll join a small, international team of 15 people from five countries, working across Berlin, Austria, Lithuania, and Romania