Data Engineer

Responsibilities

We are representing a confidential autonomous vehicle technology organization seeking a Data Engineer to join their Machine Learning team. In this role, you will:

• Build and improve scalable data pipelines that support model development, evaluation, and production ML workflows for autonomous driving systems
• Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, reliable, and model-ready formats aligned with standardized taxonomies and coordinate systems
• Develop data quality checks, validation processes, and monitoring to ensure both raw data from vehicle platforms and processed datasets are high-quality, complete, consistent, traceable, and fit for ML use cases
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development
• Improve pipeline performance, reliability, and usability, helping reduce bottlenecks and increase iteration velocity across ML development
• Collaborate closely with Machine Learning engineers, Data Corpus teams, AI Platform, and external partners to ensure data pipelines integrate effectively with production-scale learning systems

What We're Looking For

Essential qualifications:

• Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments
• Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices
• Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing
• Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar
• Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronization, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry
• Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration
• Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams

Desirable qualifications:

• Prior work in calibration, perception, imitation learning, or trajectory prediction
• Experience with third-party dataset ingestion and transformation
• Familiarity with automated driving data and scenario taxonomies, including ODD definitions, maneuver and behavior labels, scene classification, event tagging, semantic understanding

This is a full-time, remote role based in Germany (Leonberg area). Our client operates a hybrid working policy combining office collaboration with remote flexibility.

How We Work with You

Get A Job.ai represents top-tier technology organizations seeking exceptional talent. When you apply through our platform at getajob.ai, one of our specialized recruiters will review your profile and conduct an initial screening. If there's a strong match, we will submit your candidacy directly to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our talent team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome candidates from all backgrounds and provide equal employment opportunities regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.