Data Engineer (Manufacturing and Production Processes) | Data Engineer (w/m/d) Fertigungs- und Produktionsprozesse

Job Summary

This Data Engineer role focuses on building, maintaining, and optimizing the data infrastructure, Business Intelligence, and analytics specifically for manufacturing and production processes. Day-to-day tasks involve designing and implementing scalable, efficient, and fault-tolerant data pipelines, monitoring their performance, and troubleshooting issues. The engineer will also be responsible for conceptualizing and optimizing data models and schemas within cloud-based data warehouses, utilizing transformation tools like dbt to manage logic and ensure high data quality. Candidates should possess a Master's degree in a relevant technical field such as Manufacturing Technology, Computer Science, or Business Informatics, coupled with initial professional experience using SQL and Python. A strong understanding of manufacturing processes and Data Engineering best practices (ETL/ELT, data modeling) is essential for success in this cross-functional team environment. The position offers flexible working models, including 2-3 days of mobile work per week, making it attractive for professionals seeking work-life balance.