Intern IT Aftersales - Data Engineering (Mandatory Internship) (m/w/d)
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.
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. Currently pursuing a bachelor's or master's degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field with a focus on data or software engineering
- Strong English proficiency
- Strong foundation in data engineering, backend engineering, or data science
- Experience working with end-to-end data pipelines, including dependencies and failure points
- Ability to understand and reason about complex data flows and transformations
- Strong proficiency in Python
- Working knowledge of PySpark for data transformations
- Basic understanding of SQL
- Solid practical experience with Git (version control, branching, debugging changes)
- Hands-on experience using AI-assisted coding or debugging tools (GitHub Copilot or similar)
- Clear understanding of ETL/ELT concepts and data pipeline architecture
- Basic understanding of AWS data services (e.g., Lambda, Glue, S3)
- Strong, structured debugging approach (hypothesis-driven, methodical isolation)
- Proven ability to perform root cause analysis on data inconsistencies and trace issues across pipelines
- Understanding of fault tolerance and resilience in data pipelines
- 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:
- Experience with monitoring and alerting tools (data or system-level)
- Experience with CI/CD pipelines and infrastructure automation (e.g., GitHub Actions, Pulumi)
- Hands-on experience with database management (schema design, performance, debugging)
- Experience with data migration or go-live projects
- Experience automating repetitive operational tasks
- Meal-Discounts
- Mobile Phone for Employees
- Possible Discounts for Employees Possible
- Annual Profit Share
- Possible Events for Employees
- Coaching
- Flextime Possible
- Hybrid Work Possible
- Health Benefits
- Company Retirement
- Mobility Offers
- Parking
- Inhouse Doctor
- Good Public Transport
- Barrier-Free Workplace
- Near-Site Childcare
- Canteen, Café JBHU1_DE
Job-ID: MER000420S 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!
Please note that your internship at this location must be mandatory. Additional Information:
Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees ([email protected]) will gladly support you in the application process.