Jobs in Berlin, Germany

About the role

As our Data Engineer, you will design, build, and maintain the data infrastructure that powers Sensmore’s embodied AI and Vision-Language-Action Models (VLAMs). You’ll collaborate with Robotics, ML and Software engineers to ensure clean, reliable data flows from our sensor arrays (radar, LiDAR, cameras, IMUs) into training and inference pipelines. This role blends classic data engineering (ETL/ELT, warehouse design, monitoring) with ML Ops best practices: model versioning, data drift detection, and automated retraining.

What you'll bring

• 3+ years of hands-on experience building production data pipelines in the cloud (AWS, GCP, or Azure).
• Proficiency in Python, SQL, and at least one big-data framework.
• Familiarity with ML Ops tooling: DVC, MLflow, Kubeflow, or similar.
• Experience designing and operating data warehouses/data lakes (e.g., Redshift, Snowflake, BigQuery, Delta Lake).
• Strong understanding of distributed systems, data serialization (Parquet, Avro), and batch vs. streaming paradigms.
• Excellent problem-solving skills and the ability to work in ambiguous, fast-paced environments.
• Background in robotics or sensor data (radar, LiDAR, camera pipelines).
• Knowledge of real-time data processing and edge-computing constraints.
• Experience with infrastructure as code (Terraform, CloudFormation) and CI/CD for data workflows.
• Familiarity with Kubernetes and containerized deployments.
• Exposure to vision-language or action-planning ML models.

Benefits

Locations