AI Data Engineer (human)
TLDR
Design, implement, and scale ETL pipelines and data models for robotics, ensuring quality, governance, and security while adopting modern data technologies.
Your mission & challenges
Design, implement, and maintain ETL data pipelines at scale
Build and optimize data models for robotics applications
Ensure data quality, governance, and security across all platforms
Develop data workflows using scalable processing, streaming, and dataset curation technologies
Collaborate with cross-functional teams to deliver high-quality datasets
Evaluate and integrate emerging data engineering technologies and best practices
What we can look forward to
Master’s degree in Computer Science, Information Systems, or related field
7+ years of experience in data engineering or related roles
Strong programming skills in Python and SQL; experience with Java or Scala for big data frameworks
Experience with modern data technologies (Spark, Kafka, Airflow) and NoSQL databases (e.g., MongoDB)
Cloud expertise (AWS, Azure, or GCP) and familiarity with data lake/data warehouse solutions
Proficiency in containerization and orchestration (Docker, Kubernetes)
Excellent problem-solving and debugging skills
Ability to work independently and as part of a team
You have a perfect command of the English language and, best of all, speak German well
Neura Robotics builds advanced human-robot systems that ensure safe and compliant collaboration between people and machines. Targeting industries that require efficient and reliable robotic solutions, we integrate cutting-edge software and hardware capabilities to adapt to ever-changing market demands while maintaining the highest standards of safety and performance.
- Founded
- Founded 2019
- Employees
- 201-500 employees
- Industry
- industrial automation
- Funding stage
- Series B
- Total raised
- $200M raised