Data Engineer - Embedded AI (f/m)

• Architect and manage data flows to support the training and validation of new machine learning functions (e.g., vision-based navigation or obstacle detection).
• Design and maintain scalable data pipelines and architectures for machine learning functions, ensuring certification compliance (EASA).
• Act as the primary focal point to steer subcontracting activities, guaranteeing delivery quality and managing budget/risks.
• Align and communicate with internal (R&T, System Engineering, IT) and external stakeholders to meet business data infrastructure needs.
• Coach and foster Data Engineering best practices (DataOps, CI/CD) across the project and system engineering community.

• Master's degree in Computer Science, Data Engineering, Software Engineering, or equivalent.
• Minimum of 5 years experience in Data Engineering and Data Architecture in industrial environments (image processing / computer vision application pipelines highly desirable).
• Proven experience in work package/project management, including budget monitoring and managing subcontractors/suppliers.
• Technical Expertise:

• Architecture & Pipelines: Design and maintain scalable data lakes, optimized data models (Star/Snowflake) and ETL/ELT pipelines within cloud environments (AWS, BigQuery, Mongo), with a specific focus on image processing, tagging, and labeling.
• Operational Excellence: Implement CI/CD automation, enforce data governance and quality standards, and continuously tune systems for performance and cost efficiency.
• Collaboration: Partner with cross-functional teams to integrate MLOps practices and facilitate the deployment of AI models.
• Technical Implementation: Strong proficiency in SQL and NoSQL. Experience with Spark/PySpark, Airflow, Docker/Kubernetes, and MLOps is highly desirable.

• Languages: Negotiation level in English; knowledge of German or French would be a plus., This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth.

• Financial rewards: Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis.
• Work / Life Balance: Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services.
• Wellbeing / Health: Complementary health insurance coverage (disability, invalidity, death). Depending on the site: health services center, concierge services, gym, carpooling application.
• Individual development: Great upskilling opportunities and development prospects with unlimited access to +10.000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

This position requires a security clearance or will require being eligible for clearance by the recognized authorities. Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions., Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.