Working Student E/E System Integration - Data Engineering and Analytics

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: MER0003O6O In the team E/E-Planung, E/E-RLM and E/E-System Integration (E/E – Elektrik/Elektronik), we are responsible, among other things, for E/E release planning, E/E release management, FiFA@EE methodology, preventive testing of coding data documentation (FiFA4QNT) and the overall FROP. The consistent documentation between our IT systems (EPDM, Dialog, EDLS, MIC, MB.OS Portal, etc.) is the basis for all follow-up processes involved in the release rollout such as OTA, software station and vehicle operation in prototype production. Our dashboards based on PowerBI support us. The associated Data Pipeline is based on Python and PySpark and is hosted by Azure Databricks. These challenges include: Use of Python, PySpark and SQL for data manipulation, analysis and automation Use of Databricks and Azure for Data Processing and Management Development of Power BI dashboards for preventive testing of hardware and coding data documentation of the various series Recording and analysis of technical requirements from and with the departments Independent implementation of technical solutions in coordination with developers both team-internal and team-wide Optimization, maintenance and maintenance of existing dashboards including further development of the existing calculation logic Documentation of the contents and functions of the dashboards, the data models and the data processing logic Ensuring data quality and integrity Conversion of the current data transformation logic from Perl scripts to Python In addition, an open, motivated team expects you to integrate into the implementation of new requirements and expects your own ideas with joy.

Course in Computer Science, IT and Information Management, Electrical and Information Technology, Data Science, Statistics, Mathematics or Comparable Experience with the programming language Python and the necessary libraries such as Pandas or PySpark for data transformation and data processing Experience with Big Data, Data Analysis, Data Science Knowledge of SQL and Perl of Advantage Knowledge of Power BI, DAX, Power Query, Tableau, or comparable BI software is desirable Analytical way of thinking, strategic way of working, concept thinking, quick conception Secure knowledge of German and English in word and writing Commitment and team skills Safe handling of MS Office Additional information: Of course, without formalities, we are not. Please apply exclusively online and add a CV to your application, current enrollment certificate with semester indication, current grade, relevant certificates, if applicable. Compulsory internship certificate and proof of the rule period (maximum size of the annexes 5 MB) and in the online form mark your application documents as ''relevant for this application'. Further information on the setting criteria can be found here. Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive online applications of disabled people and disabled people. If you have any questions, you can also contact SBV-Sindelfingen@mercedes-benz.com to the site's severely disabled representative, who will be happy to support you in the further application process after your application. Please understand that we no longer accept paper applications and there is no claim to return. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm). Questions answered Mr. Petrov from the department, at: stanislav.petrov@mercedes-benz.com

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 Kantine, Café Business doctor Child care Parking space Good connection Accessibility JOBV1_EN