data engineer for autonomous mobility

Stellenbeschreibung:

Описание:

MOTOR Ai develops Level 4 autonomous systems, combining AI with multidisciplinary expertise to bring a certifiable autonomous mobility solution to European roads.

Задачи:

  • Design, build, and maintain data pipelines to prepare, transform, and deliver data for AI and machine learning use cases
  • Ensure training and inference data is correctly structured, versioned, and accessible to AI Engineers and Data Scientists
  • Implement monitoring and validation checks to ensure the quality, consistency, and freshness of data feeding AI systems
  • Build and improve internal tooling to automate recurring data preparation and pipeline tasks
  • Collaborate with AI Engineers, Perception, and Data Infrastructure teams to align on data formats, access patterns, and pipeline requirements

Требования:

  • A degree in computer science, data engineering, data science, or a comparable field, or equivalent vocational training/apprenticeship in a relevant technical discipline.
  • Hands-on experience counts at least as much as formal qualifications
  • 6+ Years of experience as a Data Engineer
  • Experience designing and implementing data warehouses, data lakes, and information systems, and maintaining live/production systems, including on-call and standby duty
  • Strong Python and SQL skills, with solid general database knowledge
  • Hands-on experience with TensorFlow and/or PyTorch, including larger-scale setups, and experience training neural networks
  • Experience working with large data volumes and hybrid cloud/on-prem infrastructure setups
  • Experience with data annotation and collaborating with external service providers
  • Ownership mindset, pragmatic hands-on problem-solving approach, and good communication skills for close collaboration with AI Engineers, Perception, and Data Infrastructure
  • Fluent English
  • Будет плюсом: experience in a small team with a broad scope of responsibility, German

Условия:

  • Flexible working hours
  • Discounts through Corporate Benefits partners
  • Subsidy for public transport tickets
  • Costs of further education and training are covered
  • Office location in Wedding with good public transport connections
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Stelleninformationen

  • Veröffentlichungsdatum:

    01 Okt 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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