Data Engineer

About the role

We are looking for a Data Engineer who enjoys building reliable data pipelines. You will design and operate scalable ELT processes that power analytics, reporting, and core product features.

Key responsibilities

• Design, build and maintain scalable ELT pipelines.
• Implement and operate data workflows using AWS services such as Lambda, Step Functions, S3, and Batch.
• Contribute to the evolution of our Data Platform architecture (Medallion architecture).
• Ensure data quality, consistency, and reliability across pipelines.
• Optimize data transformations for performance and cost efficiency.
• Collaborate with Backend and Frontend Engineers and Product to define data requirements.
• Monitor pipelines, troubleshoot issues and improve observability.
• Document data models, transformations and architecture decisions.

Required profile

• Strong Python skills for data processing.
• Experience building ETL/ELT pipelines in production environments.
• Solid experience with AWS (especially Lambda, Step Functions, S3).
• Understanding of Medallion Architecture.
• Strong SQL skills and experience with dimensional data modeling.
• Experience working with structured and semi‑structured data (JSON, CSV, Parquet, APIs).
• Understanding of data validation and data quality practices.
• Experience with Git and CI/CD.

Required skills

• Python
• SQL
• AWS (Lambda, Step Functions, S3, Batch)
• Medallion architecture
• Dimensional data modeling
• JSON, CSV, Parquet
• APIs
• Data validation and quality
• Git
• CI/CD

What we offer

• Being part of a highly motivated international team.
• High ownership and responsibility for your domain.
• A modern data stack and room to shape architecture decisions.
• A workplace in the heart of Vienna or remote options with quarterly office weeks in Vienna.