We’re looking for a Data Engineer to build and scale a reliable, high-performing data platform that turns complex data into trusted, business-ready insights.
Requirements
- Proven experience (4 – 5 years) building and operating ETL/ELT pipelines and data platforms in a production environment, ideally within a cloud-based ecosystem such as GCP.
- Solid understanding of modern data architectures (e.g., data lakes, data warehouses, streaming systems) and ability to design scalable and reliable data solutions.
- Strong ability to ensure data quality, reliability, and maintainability, applying best practices in data modeling, testing, and observability.
- Hands-on experience with SQL, dbt, BigQuery, and Python, as well as cloud-native data services (e.g., Pub/Sub, Dataproc) and building data-centric microservices.
Benefits
- Flexibility that fits your life
- 30 days of vacation
- Work from abroad and sabbatical options
- Public transport or bike subsidy
- Urban Sports, OpenUp, team events and office snacks
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