You will work for a renowned, successful, and well-established company.
* Collaboration: Teamwork and productive collaboration are core values of the company.
* Working atmosphere: You will work in a pleasant atmosphere with a strong sense of camaraderie.
* Variety: The scope of work is diverse, and your ideas and suggestions for solutions are welcome.
* We offer: Christmas and vacation bonuses, employer-sponsored pension plans, and several other attractive benefits in addition to your salary.
* Design, develop, and maintain ETL pipelines for extracting and transforming data from SQL Server based systems
* Work across data domains including Sales, Finance, Commissions, Logistics, Procurement, and CRM
* Ensure data accuracy, consistency, and readiness for consumption by BI platforms
* Collaborate with business stakeholders to gather reporting and data requirements
* Optimize data transformation logic for performance and maintainability
* Support data delivery into Qlik Sense, Power BI, or Azure Synapse Analytics
* Troubleshoot and resolve issues in data flows, transformations, or report outputs
* 3+ years of professional experience in ETL development (SSIS, stored procedures, scripting, etc.)
* Strong SQL skills and experience working with SQL Server as a primary data source
* Hands-on experience working with large, multi-source transactional systems
* Familiarity with one or more BI/reporting tools (Qlik Sense preferred, Power BI)
* Understanding of data modeling and dimensional design principles
* Fluent english skills are necessary, german language skills are a plus
Desirable but not essential requirements:
* Exposure to Azure Data Factory, Synapse Analytics, or Databricks
* Ability to write Python scripts or use automation tools
* Familiarity with data governance, security, and compliance (GDPR, access control, etc.)
* Experience working across business domains such as:
Sales and revenue, Finance and general ledger, Commissions and payouts, Procurement and inventory, Logistics and fulfillment, Customer and partner data