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AI Data Engineer (human)

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Onsite

AI Data Engineer (human)

NEURA Robotics

AI Data Engineer (human)

Skills

Google Cloud PlatformSQL QueriesBig DataMongoDBData EngineeringDockerPythonJavaKafkaAIScalaAWSKubernetesApache AirflowAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

72 Riederich, Germany

Work mode:

Onsite

Published on:

22 September 2026

What they need


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

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