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SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE. SHARE YOUR PASSION. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And 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. Our team at the BMW Group is responsible for the data-driven analysis and optimization of customer channels worldwide, including websites, apps, and dealer systems. With great passion, our analysts and data scientists help to continuously improve our products and the customer experience. What awaits you? You will support working with modern Large Language Models, LangChain/LangGraph, and develop innovative solutions for real business problems. Furthermore, you gain experience with the complete lifecycle from data analysis through model development to deployment. In addition, you will help to build scalable data pipelines and gain practical experience with cloud platforms such as AWS, GCP, or Azure. Moreover, you contribute to applying Machine Learning, especially Unsupervised Learning, to real datasets and visualize your insights. You will also assist in deploying and maintaining code in production environments and gain experience with AI-assisted coding tools. Additionally, you help support international developer teams through coordination, communication, and fostering efficient teamwork and problem-solving. What should you bring along? Studies in computer science, business informatics, data science or a related field; Master's preferred, Bachelor's with experience also welcome. Python skills and initial experience in software development. Experience with relational databases and cloud platforms such as AWS, GCP, or Azure. Enthusiasm for Generative AI and enjoyment of data visualization and storytelling with numbers. Desire to dive into new topics with a proactive mindset. Experience with NLP, LangChain/LangGraph, Large Language Models, Data Engineering, or Machine Learning is a plus. Very good English skills; German fluency is a plus. Would you like to work with AI and data science to shape the digital future of the BMW Group? Then Apply now! What do we offer? Comprehensive mentoring & onboarding. Personal & professional development. Flexible working hours. Mobile work. Attractive & fair compensation. Student apartments (subject to availability & only at the Munich location). And much more, see bmw.jobs/whatweoffer Start date: Earliest start date 01.10.2026 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.