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BMW Group

Data & AI Engineer – Ontologies, Knowledge Graphs

BMW Group

Contribute to the design and development of BMW Group's data and AI platforms. Support business units with data and AI use cases and ensure integration into existing systems.

Posted 4/17/2026full-timeMünchen • 🇩🇪 GermanyMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Contribute to selected areas of designing and continuously developing our data and AI platforms, supporting the journey from concept to production.
  • Support business units and IT teams in developing and implementing data and AI use cases, gaining insights into strategic and architectural topics.
  • Apply knowledge of ontologies, knowledge graphs and semantic data modeling, and assist with integration into existing platforms and applications.
  • Implement individual components of flagship (lighthouse) use cases, such as data pipelines, semantic models or graph structures, and learn how these are embedded into operational IT environments.
  • Contribute to platform and application development, define interfaces, and ensure new requirements are reflected in our AI and data platforms.
  • Focus on data quality as well as security and compliance concepts within your area of responsibility.

Requirements

What you’ll need
  • Master’s degree or higher in (Business) Informatics, Computer Science, Data Science or a comparable discipline with a focus on data or AI.
  • Some practical experience in data platforms, AI or software development preferred (e.g., internships, working student positions, theses, or early professional experience).
  • Knowledge of ontologies, graph databases and/or semantic data processing, and a strong interest in applying this knowledge in production environments.
  • Basic understanding of cloud and platform architectures and the motivation to learn about scalable data and AI solutions.
  • Interest in topics such as data integration, data quality, metadata, governance, security and data protection/privacy.
  • Strong analytical thinking, curiosity and a willingness to learn and experiment with new technologies.
  • Business-fluent German and English.

Benefits

Comp & perks
  • Challenging projects shaping the mobility of tomorrow
  • Wide range of personal and professional development opportunities
  • Attractive, fair and performance-based compensation
  • High job security
  • Annual special payments such as holiday pay, Christmas bonus and profit-sharing
  • Flexible working hours, including 6 weeks’ annual leave and overtime pay
  • Preferential BMW & MINI offers
  • Many more benefits at bmw.jobs/benefits

ATS Keywords

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Hard Skills & Tools
data platformsAIontologiesknowledge graphssemantic data modelingdata pipelinesgraph structuresdata integrationdata qualitycloud architectures
Soft Skills
analytical thinkingcuriositywillingness to learnexperimentation
Certifications
Master’s degree in InformaticsMaster’s degree in Computer ScienceMaster’s degree in Data Science