Intern IT Aftersales - Data Engineering (Mandatory Internship)
Are you a tech-savvy individual with a passion for AI, data engineering, and problem-solving? 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 work on a strategically critical system that is about to go live and directly contribute to its robustness, reliability, and innovation? Then join our After-Sales IT department at Mercedes-Benz!
Who we are and what we do\:
We in the Team Customer Analytics and BI aim to put our customers at the center of our work in order to deliver a seamless customer journey and to provide them with the best-fit products and services they need. We do so by building customer-centric data products through connecting various data sources, such as vehicle diagnostics, as well as applying machine learning models to gain valuable insights. 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 across IT and business departments.
Things you will do\:
Investigate and resolve data inconsistencies across complex end-to-end data pipelines
Automate complex analytics across large datasets to validate outputs and identify anomalies or inconsistencies
Debug pipeline failures and improve overall pipeline robustness
Design and implement existing requirements and new features for the product
Collaborate with international cross-functional teams to understand, implement, and troubleshoot features of a complex data system
Skills you will develop depending on your interests\:
AI-assisted coding\: by developing and debugging with help of an integrated AI-agent, you will learn to scale up your own performance and become your own development team
Data Analysis Skills\: Through investigating inconsistencies and validating outputs, you'll sharpen your ability to evaluate and interpret complex datasets
Problem-Solving Abilities\: By debugging pipelines and conducting root cause analyses, you'll develop a structured approach to solving real-world data issues
Data Engineering Expertise\: By developing and debugging end-to-end pipelines, you'll gain a deep understanding of ETL processes, dependencies, and data flow architectures
Reliability Engineering Mindset\: You will learn how to improve data quality, fault tolerance, and system robustness in production-critical environments
Experience with modern cloud data services and architectures
Technical Communication\: Through documentation and collaboration across teams, you will strengthen your ability to clearly communicate technical findings and solutions
The activity can begin from August 2026.