Several years of practical experience in data integration, data modeling and data pipelines., Experience in operating and monitoring productive data platforms., Experience with enterprise-wide data platforms or complex data landscapes., Very good knowledge of programming languages ​​for data engineering (Python, SQL), Experience with data ETL/ELT frameworks (e.g., Databricks), Very good knowledge of SQL and NoSQL databases., Additional certifications in cloud data platforms, Ability to build and operate stable, high-performance and scalable data pipelines., Ensuring data quality, lineage and documentation., Proactive approach to automation and standardization of processes., Contribute to architectural and platform decisions together with data architects., Strong problem-solving skills in operational data and platform issues., , , Personal skills:, Hands-on mentality and rapid response to operational requirements., Team player with close collaboration with BI, AI, and architectural teams., Responsible and quality-oriented – high awareness of stability and data protection., Proactive, solution-oriented, and detail-oriented., Enjoyment of continuously improving sustainability and efficiency in data platforms., Experience in agile projects (Scrum, Kanban) and DevOps-oriented environments., Project experience in organizations with high requirements for data quality, data protection and governance (e.g. finance, transport/logistics, industry)., Collaboration with data architects, data scientists and BI teams in interdisciplinary projects., Experience in monitoring, logging and performance tuning of data pipelines., Understanding of Data Governance, GDPR, Privacy & Security by Design.

sharing the costs of sports activities, private medical care, life insurance, flexible working time, integration events