Join one of the fastest growing rewards/fintech startups in the world - Benjamin Backed by Play Ventures and F4 Fund, we're all about making everyday actions rewarding. We're looking for an experienced Data Scientist to help us take things to the next level.

At Benjamin, we give users real cash rewards—what we call MoMos (Money Moments)—for things they’re already doing. From playing games and watching ads to everyday card purchases with cash back, we’re all about putting money back in people’s pockets.

What you’ll do

Build integrations across product, payment, advertising, and partner systems pulling data from APIs, databases, files, events, and postbacks into one trusted place
Own the flow in both directions: pipelines into Snowflake, and reverse ETL back out into the operational systems that run the business
Build event-driven, high-frequency ingestion for real-time and async processing. Internal systems, partner postbacks and webhooks at volume
Model and transform data with dbt into clean, reusable, well-documented datasets that analytics and ML can trust




Take platform problems zero-to-one: turn a gap into production infrastructure, not a one-off script
Ship cloud infra as code and CI/CD, own services end-to-end, from schema and API design to deployment and monitoring
Monitor production systems for failures, freshness, quality, latency, performance, and cost. Improve how we alert, recover, backfill, and roll back
Mentor others and set the team's data engineering standards

What we’re looking for

Strong data, platform, or backend engineering background. You've operated reliable pipelines in production, not just built them once
Strong Python and SQL. Solid grasp of data modeling, incremental processing, and schema evolution
Production experience with Snowflake and AWS
Software engineering fundamentals: Git, testing, CI/CD, Docker
Infrastructure as code (Terraform), a transformation framework (dbt or similar), integrating APIs, databases, files, events, or manag

📌 Senior Data Engineer (Barcelona)
🏢 benjamin
📍 Barcelona