Data Engineering Team Lead (ML & Robotics Data) (m/w/d)

About Us

Lets shape the future together!

How we act.

• All For One. Support, collaborate and achieve greatness with a team of like-minded people.
• We Care & Grow. Together. Unlock your potential and be ready to grow with us. We will support you in every step of your journey.
• Accountability & Commitment. Walk the talk :)
• Everyone of us takes responsibility.

Responsibilities

• Define the dataset strategy and roadmap to support scalable and diverse training data for advanced machine learning models in close collaboration with research teams.
• Architect and continuously improve a robust cloud-based data platform (including ingestion, labeling workflows, cataloging, versioning, and compliance processes).
• Operationalize the data lifecycle with clear processes, KPIs, and feedback loops spanning data collection, model training, and deployment.
• Lead and mentor a high-performing data team, fostering technical excellence, ownership, and continuous professional growth.
• Partner closely with Product, Research, and Engineering teams as the central point of contact for data strategy and data-related initiatives.
• Collaborate with robotics and systems teams to support data collection and integration workflows within robotics environments (e.g., ROS2-based systems).

Requirements

• 3 years of experience leading or managing technical teams in a fast-paced environment.
• 5 years of professional experience in data engineering, machine learning systems, cloud infrastructure, or related domains.
• An advanced degree (Masters or PhD) in Computer Science, Machine Learning, Data Engineering, or a related field.
• Proven ability to design and scale large-scale data pipelines, data platforms, or cloud-based storage systems.
• Experience building or managing datasets for deep learning systems, ideally including multimodal data.
• Experience with data lifecycle management, data collection operations, or high-throughput cloud data platforms is a strong advantage.
• Strong foundations in Python, cloud data tooling, and modern data/ML engineering practices.
• Experience working within robotics ecosystems (ROS2 or similar frameworks) is beneficial but not required.

Technologies

• Architect
• Cloud
• Support
• Machine Learning
• Python
• Robotics
• AI
• Angular
• Big Data
• Mendix
• ROS
• Security
• VR