AI Data Engineer (human)

NEURA Robotics; Riederich; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

NEURA Robotics is seeking a senior data engineer to design, implement, and maintain ETL data pipelines at scale for cutting-edge robotics applications. You will build and optimize data models, ensure data quality and security, and develop scalable data workflows across platforms.

Ideal candidates bring 7+ years in data engineering, mastery of Python/SQL, and experience with Spark, Kafka, Airflow, and MongoDB.

Qualifikationen

• 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 Spark, Kafka, Airflow and NoSQL databases (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.
• Fluent in English; German language skills appreciated.

Aufgaben

• 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.

Jobbeschreibung

• 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