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2 devops jobs found in Munich

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MEAG
22/04/2026
Full time
Working Student Data & Analytics (m|f|d)
MEAG München, Germany
Location   Munich, Germany   Job type   Part-Time   Work mode   Hybrid   Job level   Internship & Working Student   Job ID   6530-2097   Company   MEAG   Employment type   Temporary   Area of ​​expertise   Information Technology MEAG is part of the Munich Re Group and one of the world's leading asset management companies. We are looking for a working student in Sales Management & Marketing (m/f/d) to join our team as soon as possible at our   Munich   offices , where we will need your support, including   on-site   assistance . Shape the future with us: End-to-end development of sophisticated reporting and analytics use cases based on Databricks – from the initial business requirement to a production-ready, clean solution. In-depth analysis, transformation, and modeling of complex datasets using SQL and/or Python in a scalable environment Design, implementation and performance optimization of high-quality queries as well as precise...
autonomous-teaming
22/04/2026
Full time
ML Data Engineer (m/f/d) - Sensor Data & Pipelines
autonomous-teaming 80807 Munich, Germany
What we offer Work in an international, agile team creating the future of autonomous systems Grow your career in a expanding and ambitious engineering team Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy Benefit from a steep learning curve and continuous development Enjoy team events and a strong, collaborative culture Your mission This role sits at the core of our perception systems, owning the data that directly drives model performance in real-world environments. You will work closely with ML, perception, and robotics teams, focusing on   building, curating, and continuously improving datasets behind object detection   — turning raw sensor data into reliable, high-performing systems. You will take   end-to-end ownership of the ML data lifecycle , from data collection and ingestion to labeling, quality assurance, and continuous dataset improvement, ensuring data is representative, high-quality, and...
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