Data Engineer

Walaris designs and develops AI-driven, software‑defined, and hardware‑enabled autonomous systems for defense and security applications. Our software platform uses artificial intelligence, sensor fusion, and edge computing to provide real‑time situational awareness for air, land, and sea domains, enabling rapid decisions at machine speed. Our cutting‑edge technology is utilized by customers across the defense, national security, government, marine, and critical infrastructure protection markets worldwide.

For our office in Nuremberg, we are looking for a Data Engineer (m/f/d) starting as soon as possible.

• Manage and organize large datasets used for training computer vision AI models
• Collaborate closely with AI and Computer Vision engineers, providing data‑related support
• Create and maintain image and video databases
• Build and maintain end‑to‑end data processing pipelines, from raw data ingestion through annotation and post‑processing
• Ensure data quality and implement data tracking and governance practices
• Apply Data Ops, Dev Ops, and MLOps principles to automate workflows, improve reliability, and enable continuous delivery of data assets

• Bachelor’s degree in computer science, data science, or a related field
• Experience with databases and database management
• Familiarity with tools such as MinIO, Ceph, Docker, Kubernetes, CVAT, and Roboflow
• Experience with programming languages such as Python
• Proficient in Bash scripting
• Experience working in Linux (particularly Ubuntu) is desired
• Familiarity with computer vision + image and video processing software is preferred
• Strong English skills

Join our mission and become part of an innovative, dynamic team! At Walaris, you’ll play a vital role in saving lives and safeguarding local and national security by harnessing the power of cutting‑edge technologies. This is your chance to break new ground and take on meaningful responsibility as you help develop and deploy industry‑defining solutions.

We offer creative freedom, competitive compensation, and a fast‑paced, collaborative environment where your ideas and contributions truly matter.