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Senior Data Engineer - Governance - SIXT
Data Engineer
Senior Data Engineer focused on building and maintaining robust data pipelines, ensuring data quality, and implementing governance frameworks using Python, SQL, Airflow, and Snowflake.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and store data from multiple sources.
- Implement and enforce data governance policies, data lineage, and metadata management across the data platform.
- Collaborate with data scientists, analysts, and product teams to translate business requirements into technical solutions.
- Optimize data models and queries for performance, reliability, and cost efficiency in Snowflake.
- Monitor pipeline health, troubleshoot issues, and establish automated testing and alerting mechanisms.
Requirements
- 5+ years of professional experience in data engineering or related fields.
- Strong proficiency in Python and SQL for data manipulation and automation.
- Hands‑on experience with workflow orchestration tools such as Apache Airflow.
- Deep knowledge of cloud data warehouses, preferably Snowflake, and best practices for data modeling.
- Demonstrated understanding of data governance, data quality frameworks, and compliance standards.