INTERNSHIP DETAILS

Intern Data Engineering & Business Intelligence in Financial Services (f/m/x)

CompanyBMW Group
LocationMunich
Work ModeOn Site
PostedMay 22, 2026
Internship Information
Core Responsibilities
You will support the design and optimization of automated ETL/ELT processes and create interactive visualizations to monitor key performance indicators. Additionally, you will implement data quality gates and collaborate with business departments to translate requirements into technical data models.
Internship Type
full time
Company Size
65012
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
With its four brands, BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial services. The BMW Group production network comprises over 30 production sites worldwide; the company has a global sales network in more than 140 countries. In 2025, the BMW Group sold 2.46 million passenger vehicles and more than 202,500 motorcycles worldwide. The profit before tax in the financial year 2025 was € 10.2 billion on revenues amounting to € 133,5 billion. As of 31 December 2025, the BMW Group had a workforce of 154,540 employees. The economic success of the BMW Group has always been based on long-term thinking and respon-sible action. Sustainability is a key element of the BMW Group’s corporate strategy and covers all products – from the supply chain through production to the end of their useful life.
About the Role

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

We are a dynamic team passionate about designing data-driven solutions for financial services. We bridge the gap between complex financial data and actionable business insights, helping to drive the future of mobility financing.

What awaits you?

  • You will support the design and optimization of automated ETL/ELT processes to integrate diverse customer data sources.
  • Furthermore, you help create interactive visualizations in tools like Tableau or Quicksight to monitor key performance indicators and customer behavior.
  • In addition, you contribute to implementing data quality gates to ensure accuracy, consistency, and security of financial records.
  • Moreover, you collaborate closely with business departments to translate complex requirements into technical data models and automated reports.

 

What should you bring along?

  • Studies in computer science, data science, information systems, business informatics, or a related field.
  • Strong foundational knowledge of SQL and database management (relational and non-relational).
  • Proficiency in Python, specifically libraries like Pandas and PySpark.
  • Experience with business intelligence tools such as Tableau or Quicksight.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills to effectively present findings.
  • Good German and English skills.

 

Would you like to help us build robust data pipelines and intuitive dashboards that drive the future of mobility financing? Then Apply now!

 

What do we offer?

  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Flexible working hours.
  • Mobile work.
  • Attractive & fair compensation.
  • Apartments for students (subject to availability & only at the Munich location).
  • And much more, see bmw.jobs/whatweoffer

 

Start date: Earliest start date 18.05.2026

Duration: 6 months

Working hours: Full-time

 

You can find helpful tips on your application and the application process here.

 

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.

Key Skills
SQLDatabase managementPythonPandasPySparkTableauQuicksightETLELTData modelingData visualizationAnalytical skillsProblem-solvingCommunication skillsGermanEnglish
Categories
Data & AnalyticsTechnologyFinance & AccountingSoftwareEngineering
Benefits
Comprehensive mentoringOnboardingPersonal developmentProfessional developmentFlexible working hoursMobile workAttractive and fair compensationApartments for students