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

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

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.