AI Data Engineer (human)

NEURA Robotics; Germany (OH); On-site; USD 100,000 - 140,000; Full time

Job summary

NEURA Robotics is seeking an experienced data engineer to design and maintain ETL data pipelines at scale, build data models for robotics, and ensure data quality and security. Required qualifications include a Master’s degree in Computer Science or related fields, and over 7 years of experience in data engineering.

The ideal candidate will have strong programming skills in Python and SQL, as well as experience with modern data technologies such as Spark and Kafka, and cloud expertise in AWS, Azure, or GCP.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data pipeline design

Data modeling

Data quality assurance

Python programming

SQL skills

Cloud platforms (AWS, Azure, GCP)

Containerization (Docker, Kubernetes)

Problem-solving

Education

Master’s degree in Computer Science or related field

Tools

Spark

Kafka

Airflow

MongoDB

Job description

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