Entyre

Data engineer

In short

Senior Data Engineer role at Entyre, a fast-growing health tech scale-up, based in their Berlin tech hub. The job involves designing, building and operating the company's data platform, pipelines, and data reliability systems, working closely with Product, Operations and Engineering. Requires solid Data Engineering experience, strong Python and SQL skills, hands-on work with tools like Fivetran, BigQuery, Dataform, Sigma, GA4, and experience with cloud platforms and modern data warehouses. Hybrid work from Berlin with up to 3 days remote per week.

About the role
Entyre, part of the Entyre Group, is one of the fastest-growing health tech scale-ups in Switzerland and the United States. With 500+ employees globally and offices in Zurich, Berlin, Boston, Chicago, Detroit, Arlington, and Columbus, we are scaling rapidly. For our Berlin tech hub, we are looking for a Senior Data Engineer (m/f/d) who wants to take real ownership in building and scaling a modern data platform. This role is focused on designing, building, and operating the company's data platform, data infrastructure, and data reliability systems.
Responsibilities
•Design, build, and maintain scalable batch and real-time data pipelines across multiple sources and systems
•Develop and evolve our data warehouse/lakehouse architecture with a focus on performance, scalability, and reliability
•Implement monitoring, validation, and observability solutions to ensure trustworthy data across the organization
•Work closely with Product, Operations, and Engineering teams to design and maintain scalable data infrastructure that enables self-service reporting
•Take end-to-end responsibility for data initiatives, from design and implementation to production rollout and ongoing optimization
•Improve data processing efficiency, query performance, and cost-effectiveness across the platform
Requirements
•You are passionate about data engineering and solving complex technical data problems
•You have solid experience as a Data Engineer in fast-paced, data-driven environments
•You have strong hands-on experience with Python and SQL
•You have experience with tools such as Fivetran, BigQuery, Dataform, Sigma, GA4
•You have worked with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (e.g., Snowflake, BigQuery, Redshift)
•You understand data modeling, ETL/ELT patterns, and building scalable data systems
•Fluency in English is required
Nice to have
•Experience with streaming technologies (e.g., Kafka)
•German is a plus
Conditions
•Key responsibility in a small, experienced engineering team
•Modern office next to S Ostbahnhof, with up to 3 days of work from home per week
•Monthly mobility budget for public transport, bike, or shared mobility
•Strong team culture with regular events, drinks, and snacks in the office
•Opportunity to shape a modern cloud-based data platform in a fast-scaling health tech environment

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