Senior Analytics Engineer (f/m/div.)
Tasks
- Apply DevOps practices to data engineering
- Build data models for reporting
- Collaborate with data producers and consumers
- Define and track KPIs
- Design and monitor automated data pipelines
- Develop ETL pipelines
- Document data solutions
- Ensure data integrity, security, and quality
- Implement CI/CD for data pipelines
- Maintain data products
- Run data testing for pipeline reliability
- Scale data solutions
- Support ad-hoc analyses
- Translate requirements into data transformations
Perks/Benefits
- Canteen
- Career progression
- Continuous professional development
- Discounts on partnerships
- Flexible work conditions
- Free parking
- Health insurance
- Hybrid work system
- Public transport access
- Sports and health activities
- Training opportunities
Skills/Tech-stack
Agile | CI/CD | DBT | Data Engineering | Data Integrity | Data Lakehouse | Data Lakes | Data Modeling | Data Quality | Data Security | Data Testing | Data Warehousing | Databricks | DevOps | ETL | GenAI | KPI Tracking | Power BI | Python | SQL | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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