Are you a tech-savvy individual with a passion for software engineering and data? Do you want to gather hands-on experience at a globally renowned company that is pushing the boundaries of automotive innovation? Would you like to be the catalyst for new ideas and innovations, driving them all the way to the highway? Then join our After-Sales IT department at Mercedes-Benz!

Who we are and what we do:

We in the Team Data, Analytics & AI aim to put our customers at the center of our work. Currently, we are developing the next generation of our global parts pricing system in the cloud to natively integrate automation and data-driven decision-making processes. To that end, we are building data products through connecting various data sources as well as building state of the art cloud-based data processing pipelines. Furthermore, by harnessing data from our global workshop network, we continuously improve our customers' service experience, make strategic business decisions, and effectively steer various After-Sales processes. To make this happen, we work in self-organized, interdisciplinary, and agile teams with IT and business colleagues.

Things you will do:

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues
• Contribute to and support our product teams in the design and development of new data products. Embrace data mesh principles to ensure data quality and smooth data exchange, thereby enhancing the underlying architecture of our data platform
• Bring in your own ideas into the design of new or improved data products and transform them into end-to-end proof-of-concept solutions in the cloud
• Contribute to the creation of comprehensive, easy-to-follow technical documentation
• Organize communication with our stakeholders and support the documentation of our data products
• Support with the management, maintenance and requirements engineering of our applications as well as create and enhance communication material

Skills you will develop depending on your interests:

• Data Analysis Skills: Through collaboration with cross-functional teams to define data requirements, you'll sharpen your ability to evaluate and interpret complex datasets
• Problem-Solving Abilities: By monitoring, troubleshooting, and resolving data processing issues, you'll develop a keen eye for identifying problems and formulating effective solutions
• Product Development Expertise: As you contribute to and support our product teams, you'll grow your understanding of product lifecycle management, from design and development to testing and deployment
• Understanding of Data Mesh Principles: Embracing data mesh principles will allow you to gain insights into data governance, data quality assurance, and data exchange procedures, enhancing your overall knowledge of data management
• Innovation and Creativity: By bringing in your own ideas and transforming them into end-to-end proof-of-concept solutions, you'll cultivate your creative thinking and innovation skills, crucial in the field of data and software product development
• Cloud Computing Competencies: Developing proof-of-concept solutions in the cloud will help you gain experience in cloud environments and services, an essential skill in today's digital landscape
• Technical Writing Proficiency: Contributing to comprehensive, easy-to-follow technical documentation will develop your technical communication skills, aiding you in clearly conveying complex information

The Mandatory Internship can start working from August/September 2025.

• Currently pursuing a bachelor's or master’s degree in computer science, Information Technology, or a related field with a focus on data or software engineering. You must be enrolled as a student at least until the last planned day of your internship
• Strong English proficiency
• Experience with one or more programming and scripting languages (Python and SQL are of advantage, Go is a nice-to-have)
• Communication and interpersonal skills, with the ability to work well in a team as well as independently

It helps if you are interested / have some background in:

• Knowledge of software development principles
• Data modeling, schema design, and data normalization techniques
• Experience with cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure
• Understanding of cloud-based storage (e.g., S3, Azure Data Lake) and big data processing technologies (e.g., AWS Glue, Azure Data Factory, Databricks) for scalable and efficient data workflows
• First experience with agile frameworks like Scrum and knowledge of data mesh principles
• Interest in data visualization tools like Tableau, PowerBI, or Qlik
• Interest in real time data delivery technologies

Please note that your internship at this location must be mandatory.

Additional information:

It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.

Please find the criteria of employment "here".

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: SBV-Zentrale@mercedes-benz.com.

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

If you have any questions regarding the application process, please contact HR Services by e-mail at myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).