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Senior Data Engineer (w/m/d)
About Arsipa
Arsipa GmbH is a group of companies operating throughout Germany in the fields of occupational safety, occupational medicine, and environmental protection. With over 850 employees at around 70 locations in Germany and Austria, we pursue a consistent buy-and-build strategy and are one of the leading providers in the Health & Safety market.
Your Responsibilities
- Building, operating, and further developing a scalable data platform (Warehouse / Lake / Lakehouse)
- Developing and maintaining robust ETL/ELT pipelines for integrating diverse data sources
- Ensuring data quality, performance, scalability, and cost optimization
- Implementing monitoring, governance, and security concepts (including GDPR)
- Close collaboration with Analytics, Product, and Engineering teams
- Automating data processes and continuously improving existing architectures
- Actively shaping the data strategy and evaluating new technologies
Your Profile
- Several years of experience in Data Engineering or a comparable role
- Very good programming skills in Python and SQL, as well as clean engineering standards (tests, CI/CD)
- Sound understanding of modern data architectures and data modeling
- Practical experience with cloud platforms (AWS, GCP, or Azure) and common data tools (e.g., Airflow, dbt, Spark, Snowflake)
- High quality and ownership mindset for productive data pipelines
- Ability to communicate technical solutions understandably and translate business requirements
- Team player with an interest in mentoring and continuous development
- Fluent English skills (required); German skills are a plus
Your Benefits at Arsipa
- Attractive, market-competitive compensation
- Flexible work model: Remote-first with optional office presence
- 30 vacation days
- Structured onboarding with personal support from the recruiting team
- Transparent communication through weekly 1:1s and regular all-hands meetings
- Access to Corporate Benefits
- Long-term perspective in a growing group of companies


