Senior Data Engineer, 80-100% (m/f/d)

We are looking for an experienced personality to shape our data warehouse and BI landscape with modern Microsoft technologies and solid Kimball expertise.

• You develop and implement modern, high-performance cube solutions and dimensional data mart models according to the principles of the Kimball method using current Microsoft technologies
• You take responsibility for all phases of the data warehouse development chain – from data integration to model-based storage (SSIS, TSQL) to visualization and analysis with Power BI
• In close coordination with the specialist departments, you support data analysis, create meaningful reports and dashboards in Power BI, thus making a decisive contribution to data-driven optimization of business decisions
• You accompany and shape the multi-year transformation of existing on-premise solutions and architectures to modern services in the Azure Cloud

• You have outstanding expertise in Microsoft technologies SSIS, SSAS (Tabular and Multidimensional Model), T-SQL, and Power BI and are skilled in dimensional data modeling according to the principles of the Kimball method
• You bring at least five years of solid practical experience in the data warehouse and business intelligence environment of large companies, ideally within the insurance or financial services industry
• Experience with the Databricks data platform is an advantage
• Strong initiative, target group-oriented communication skills, and team orientation are among your strengths, as well as experience in using agile working methods
• Your qualification is based on a successfully completed degree in computer science (university of applied sciences/university) or an equivalent qualification
• You communicate fluently in German and have very good English skills

• Market-oriented base salary
• Bonus depending on company success and personal performance
• Between 25 and 30 vacation days
• Recognition of service anniversaries every five years
• Flexible working hours
• Mobile office
• Time-out models
• Flexible working models 58+
• Internal training offerings
• Support for external training and further education