Data Engineer - Embedded AI (f/m/d), Toulouse

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.

Tasks

• 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).
• Support the Work Package Leader in subcontracting activities
• Align and communicate with internal stakeholders (R&T, System Engineering, IT)
• Foster Data Engineering best practices (DataOps, CI/CD) across the project and system engineering community.

Profile

• 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).
• 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.