You'll be Marta's first dedicated data hire. You'll build the data foundation on which we scale analytics β and eventually ML β over the coming years.Β
Β Β Β In your first 12 months:
Design and maintain ourΒ transformation layerΒ (dbt or equivalent)
Bring structure to ourΒ Redshift warehouseΒ β clean it up, govern it, keep it healthy
Define and document ourΒ core KPIsΒ together with Product and Ops
OwnΒ Metabase: clean dashboards, reliable numbers, self-service for teams
BuildΒ data quality monitoringΒ so problems surface before someone discovers them manually
From around month 9 (in parallel):
Build infrastructure forΒ experimentationΒ β 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
StrongΒ SQL and data modelingΒ skills β you think in data structures
Hands-on experience withΒ dbtΒ or similar transformation tools
Experience withΒ cloud data warehousesΒ (Redshift, BigQuery, Snowflake, etc.)
A great understanding ofΒ BI and dashboardingΒ β 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
A Plus:
Good understanding of ML pipelines / feature engineering
Comfortable with Python for scripting and automation
Familiarity with the broader AWS data ecosystem is a plus
At marta, we build technology that makes high-quality home care accessible, transparent, and human. Our platform connects families and caregivers across Europe, creating trust, dignity, and simplicity in one of the most essential industries: elderly care.
After establishing ourselves as the technological leader in the live-in care market, we are now entering the next growth phase β scaling our product and engineering organization to deliver greater speed, stability, and impact. Our goal is clear: to set the new standard for technology in elderly care.
Youβll join a small, international team of 15 people from five countries, working across Berlin, Austria, Lithuania, and Romania. We love spending time together β from regular team breakfasts and events to office parties and sports. Youβll get 27 days of paid leave, work from the heart of Berlinβs vibrant tech scene, and use the latest tools and tech to build great products. Our culture is hands-on and innovation-driven, giving you real ownership and the chance to help grow and scale a greenfield project from the ground up, focused on machine learning and data-driven products.