Jobbeschreibung
Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.
Job-ID: MER0003QK9
Mercedes-Benz Mobility's (MBM) Data, Analytics & BI department operates and develops the MBM-wide, cloud-based Data Lake & Advanced Analytics platform Spire. We are one of the main drivers of the company-wide digital transformation by onboarding further global markets and offering E2E (End-to-End) Advanced Analytics products. The department is also home to many BI reporting systems, the HQ data warehouse and smart solutions – like an AI-based forecasting software – which is already shaping the future of the Finance & Controlling area. In addition, we take on the higher-level function of the Data Office for MBM and play the leading role in numerous cross-organizational projects that focus on digitizing business processes.
Your tasks will be:
Support in the development and implementation of data and AI solutions to enhance mobility services
Analyze and process large datasets to optimize business processes and customer experiences
Collaborate with interdisciplinary teams to identify and solve technical challenges in the mobility environment
Contribute to maximizing the value of data products throughout their entire lifecycle in an agile team of Data Analysts, Data Engineers, and Data Product Owners
Working students can start working from September 2025.
Enrolled student in Computer Science, Mathematics, or a related field
Good knowledge of Python programming and related packages (e.g., pandas, pyspark, pytest)
Understanding of database structures, data modeling, as well as metadata and enterprise data management
Experience with cloud platforms and microservices, preferably MS Azure (e.g., Databricks, ADF)
Knowledge in data warehouse design and ETL/ELT process development
Basic knowledge of software engineering techniques such as continuous integration and continuous delivery, testing, source code management, and release management is an advantage
Basic knowledge of machine learning and Big Data technologies such as Apache Spark and cloud computing is an advantage
Experience with agile software development and Git
Self-organized and highly collaborative
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: [email protected]
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 [email protected] 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.).
- Discounts for Employees Possible
- Meal-Discounts
- Company Retirement
- Annual Profit Share Possible
- Hybrid Work Possible
- Mobile Phone for Employees Possible
- Health Benefits
- Flextime Possible
- Events for Employees
- Mobility Offers
- Lifelong Learning
- Good Public Transport
- Parking
- Canteen, Café
- Inhouse Doctor
- Barrier-Free Workplace