Data Engineer | Data Engineer (d/m/w)

Job Summary

This Data Engineer role at Schaeffler involves ensuring the quality and availability of critical business data by leveraging a state-of-the-art Azure tool stack. The successful candidate will be instrumental in driving the business digitalization strategy, focusing on process automation and developing data-driven working methods. Key responsibilities include designing and implementing scalable, metadata-driven ETL processes and data pipelines, while maintaining end-to-end data quality from raw source systems to operational datasets. This position requires a completed degree in Computer Science or a comparable field, several years of experience in Data Engineering, and extensive programming skills in Python and SQL. Proficiency with Microsoft Azure services (Data Factory, Synapse, Fabric) and orchestration tools like Airflow is essential. The role offers close collaboration with analysts and developers, supporting the implementation of DevOps best practices (Git, Styleguides), and contributing to the development of robust solution architectures for data-driven applications within an international technology group.