Senior Data Engineer – ML Data Platform (m/w/d)

- Design, build, and maintain scalable data pipelines that support the full data lifecycle—from collection and annotation to quality assurance, governance, and cloud storage. - Develop and optimize infrastructure that enables high-quality datasets to flow efficiently into machine learning training pipelines. - Contribute to the design and evolution of a cloud-based data platform, including ingestion pipelines, labeling workflows, dataset cataloging, versioning, and compliance. - Implement processes and tooling that improve data quality, reliability, and observability across the data lifecycle. - Work closely with research and engineering teams to support the creation and management of large-scale datasets for advanced machine learning models. - Support data collection and integration workflows from robotics and sensor-based systems, including environments built on ROS2 or similar frameworks. - Contribute to best practices for data engineering, documentation, testing, and reproducible data pipelines.