Working Student Process Modeling & Data Flows Vehicle Data & AI Solutions

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0003Z5G We develop a comprehensive cloud platform for the provision, harmonisation and efficient use of development data and services in the context of vehicle development. Our goal is to make data flows, processes and services transparent across different domains to promote efficiency, reusability and innovation. In order to optimally image, structure and communicate these complex relationships, we are looking for you to support process modeling and information processing. These challenges include: Recording and modeling of end-to-end processes around VCARe apps, services and data products

Presentation of data streams, technical dependencies and interfaces

Identification of relevant stakeholders (e.g. RD areas, platform teams, shared services)

Collection of information through interviews, document research and exchange with developers & specialist areas

structuring the temporal dependencies between services, data pipelines and use cases

Creation of graphical process representations, e.g. BPMN, EPKs, Value Streams, System context diagrams

Support for documentation in the VCARe Collaboration Model

The activity can begin from April 2026.

Studies in Business Informatics, Computer Science, Data Science, Systems Engineering

Interest in data platforms, digital ecosystems and technical processes

First experience with process modeling (BPMN, UML, EPK, SysML etc.) desirable

Ability to prepare complex technical topics structured

Fun on analysis, research and communication (interviews)

Self-employed, reliable operation and good organizational skills

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (SBV-Sindelfingen@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café