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Senior Data Engineer - Haufe Group SE
Data Engineer
Lead end‑to‑end data engineering on Snowflake and AWS, designing scalable pipelines, optimizing performance, and ensuring data quality for enterprise analytics.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines on Snowflake and AWS services (S3, Glue, Redshift).
- Implement data modeling, schema design, and performance tuning to support analytics and reporting.
- Build and automate ETL processes using Python, SQL, and Airflow or similar orchestration tools.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions.
- Ensure data quality, lineage, and security compliance across the data platform.
Requirements
- 5+ years of experience in data engineering with a focus on cloud platforms.
- Proficient in Snowflake, AWS, Python, and SQL.
- Strong knowledge of data modeling, ETL best practices, and performance optimization.
- Experience with orchestration tools (Airflow, Prefect) and CI/CD for data pipelines.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
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