Neura Robotics

• 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

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