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Data Science Munich 13.01.2023

Data Engineer - Supply Chain Delivery Assurance & Digitalization (f/m/x)



Big data is nothing without the creative minds that transform facts into innovations. Our data science experts have the ability to discover the truths hidden in the numbers, helping us re-envision both Industry 4.0 and mobility. Their insights from the data we collect today are what we use to create the transportation of tomorrow.


Every day the BMW Group’s Material Steering departments order over 31 million parts to enable over 31 production locations in 14 countries to build more than 9,000 vehicles a day. To pursue this mission, you will have the opportunity to leverage best-in-class technology to bring about change on a company-wide level. We will create a constant knowledge feed to BMW Management on trends and possibilities for growth in the data engineering space. Our group is looking for data experts with serious analytical skills and knowledge of cloud environments.


What awaits you?

  • Together with an international team of highly selected data scientists, engineers, supply chain experts and creatives, you will develop cutting-edge applications and forecasts to not only solve pressing supply chain problems but to also foster BMW’s leadership in supply chain logistics by taking our global operations to the next data-informed level.
  • Within this impactful environment, you as a data engineer will be a central cornerstone, laying and developing the data-based groundwork for one of the highest performing supply chains to further advance.
  • You will help to embrace data analytics tools and methods confidently and responsibly to solve business challenges.
  • You will mentor an international and diverse team of young professionals.
  • You own your projects and results.
  • You develop and operate data processing pipelines and analytics applications using appropriate cloud services (AWS, Palantir Foundry).
  • The implementation of data delivery solutions to power our internal services (e.g. UI, BI, Analytics) with a focus on scalability, speed, and reliability are also part of your work.


What should you bring along?

  • Master´s degree in computer science, business informatics, electrical engineering, mechanical engineering, mathematics or a comparable qualification.
  • Solid practical experience in Data Engineering, building automated ETL pipelines, data storage/databases. (Python, PySpark strongly preferred, SQL, Java nice to have).
  • Experience with Palantir Foundry is a strong plus.
  • Experience in pipeline optimization for faster analysis or reduced cost.
  • In-depth knowledge of cloud solutions (e.g. AWS, Azure, GCP as well as modules within them e.g Redshift, Athena, S3.
  • Experience and interest in the area of Supply Chain Management is a plus.
  • Great communication skills and an understanding of the art of explaining complicated things in simple words.
  • Business fluent English, preferably good German skills.


You are enthused by new technologies and an innovative environment? Apply now!


Note: Please apply exclusively online via our career portal. Applications via other channels (esp. email) cannot be considered.


What do we offer?

  • 30 days of holiday.
  • Attractive remuneration.
  • BMW & MINI promotions.
  • Career development.
  • Flexible organisation of working times.
  • High Work-Life Balance.
  • Mobility offers.
  • And many other benefits - see


At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.

Find out more about diversity at the BMW Group at


Earliest starting date: from now on

Type of employment: unlimited
Working hours: Full-time


Franziska Obermaier
BMW Group Recruiting Team
+49 89 382-17001


Data Engineer - Supply Chain Delivery Assurance & Digitalization (f/m/x)

Legal Entity:
BMW Group
Job Field:
Data Science
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Publication Date:
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