
10,000+ employees
Founded 1915
Transportation • Automotive • Technology
ZF Group is a global technology company supplying advanced mobility products and systems for passenger cars, commercial vehicles, and industrial technology. The company's comprehensive product range focuses on vehicle manufacturers, mobility providers, and start-up companies, particularly in transportation and mobility. ZF is advancing the future of mobility through automation, electrification, and integrated safety systems, while also contributing to emission reductions and climate protection. With a diverse workforce of approximately 168,700 employees and operations in numerous countries, ZF is committed to delivering sustainable and innovative solutions across various modes of transport.
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10,000+ employees
Founded 1915
Transportation • Automotive • Technology
ZF Group is a global technology company supplying advanced mobility products and systems for passenger cars, commercial vehicles, and industrial technology. The company's comprehensive product range focuses on vehicle manufacturers, mobility providers, and start-up companies, particularly in transportation and mobility. ZF is advancing the future of mobility through automation, electrification, and integrated safety systems, while also contributing to emission reductions and climate protection. With a diverse workforce of approximately 168,700 employees and operations in numerous countries, ZF is committed to delivering sustainable and innovative solutions across various modes of transport.
• Build data pipelines to create data foundation for Process Mining tools to identify bottlenecks, inefficiencies, conformance deviations, and potentials for process standardization, improvement, and automation in cooperation with process owners and process experts • Understand business needs around data integration, data engineering, and data operations to build end-to-end data pipelines for analytical purposes • Manage and troubleshoot data pipelines in Azure, Databricks and Datasphere environments • Work together with Process Mining experts to support analysis of processes
• Bachelor's degree or higher in a related field (e.g. Computer Science, Data Science) • Minimum 1-3 years of professional experience • Solid communication skills in English • Sound knowledge of Data Warehousing concepts, ETL/ELT, data lake environment(s) • Proven experience in a coding language like SQL and/or Python • Data modelling experience • SAP background knowledge • Analytical mindset, ability to work in a structured way and quickly analyze problems • Open and solution focused mindset, willingness to continuously learn and improve
• Stable company background and long-term working possibility • Full of challenges and high-level professional activities at an international company • Participation in international projects and commission to foreign countries • Career opportunities, continuous training program and language courses • Competitive salary and performance-related bonus • Cafeteria with optional elements • School start support
Apply Now🕒 December 1, 2025
Data Engineer building data pipelines in Snowflake for clients and internal projects. Collaborating with technical and business-oriented colleagues to optimize ETL processes.
AWS
Google Cloud Platform
Python
SQL