Data Engineer – Large Scale Data Platforms – 16597
Description
Assignment Overview
We are looking for several experienced Data Engineers
What you will work on
- Developing strategies and architecture for large-scale data collection, processing, and utilization
- Deg and implementing scalable data pipelines for dense data such as raw sensor signals and service messages
- Contributing to the development of a Data Mesh platform supporting multiple engineering teams
- Building and maintaining data infrastructure used for advanced autonomous system development
- Collaborating closely with teams working in Machine Learning, MLOps, Perception, and Systems Engineering
- Ensuring efficient ingestion, storage, and processing of large-scale datasets
- Supporting the continuous improvement of data platforms and engineering workflows
What you bring
- Minimum 5 years of experience in Data Engineering or Software Engineering
- Educational background in Computer Science, Software Engineering, Mechatronics, or Electronics
- Experience building and operating large-scale data collection, ingestion, and processing platforms
- Strong communication skills and ability to collaborate with cross-functional technical teams
- Ability to work independently in fast-paced development environments
- Experience with Go or C++ is considered a strong advantage
- Experience working with Google Cloud Platform (GCP)
- Experience with multiple database technologies such as PostgreSQL, BigQuery, or Firestore
- Experience processing large volumes of sensor data such as camera, LiDAR, or radar
- Understanding of machine learning training workflows and data pipelines
If this sounds interesting, please send your CV to
Skills
Machine LearningGoFirestorePostgreSQLcplusplusBigquerycppC++GCPData EngineeringBigQuery