Data Engineer (Remote, Europe)

About the role

A remote, full-time, long-term B2B contract for a Data Engineer across Europe, with paid time off included. The engineer builds reliable data pipelines and helps design and operate scalable ELT processes that power analytics, reporting and core product features. The role suits someone comfortable with Python, SQL and AWS, and who cares about data quality, performance and maintainability.

Key responsibilities

• Design, build and maintain scalable ELT pipelines.
• Implement and operate data workflows on AWS (Lambda, Step Functions, S3, Batch).
• Contribute to the evolution of the 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.
• Understanding of Medallion architecture.
• Experience with structured and semi-structured data (JSON, CSV, Parquet, APIs).
• Understanding of data validation and data quality practices.
• Nice to have: columnar databases such as ClickHouse, Redshift or BigQuery, infrastructure-as-code such as Terraform, and Docker.

Required skills

• Solid AWS experience, especially Lambda, Step Functions and S3.
• Strong SQL skills and dimensional data modeling.
• Git and CI/CD experience.

What we offer

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