AI Data Engineer (human)

Atlas Metrics

Gemeindeverwaltungsverband Metzingen

Vor Ort

EUR 60.000 - 90.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Creative Freedom and Agility
Passion for Winning
Attractive Compensation
One Team
Professional Growth

Zusammenfassung

Atlas Metrics is seeking an AI Data Engineer to develop the cognitive abilities of their robots in Metzingen, Germany. The role involves designing and maintaining ETL data pipelines, optimizing data models, and ensuring data quality. Candidates should possess a Master’s degree in a related field and have substantial experience in data engineering, strong programming skills, and expertise in cloud technologies. The position offers a competitive salary and various employee benefits, including professional growth opportunities.

Qualifikationen

  • 7+ years of experience in data engineering or related roles.
  • Excellent command of English; German is highly desirable.
  • Ability to work independently and as part of a team.

Aufgaben

  • Design, implement, and maintain ETL data pipelines at scale.
  • Build and optimize data models for robotics applications.
  • Develop data workflows using scalable processing, streaming, and dataset curation technologies.

Kenntnisse

Programming skills in Python
SQL proficiency
Data engineering experience
Problem-solving skills
Experience with Spark
Experience with Docker

Ausbildung

Master’s degree in Computer Science, Information Systems, or related field

Tools

Spark
Kafka
Airflow
NoSQL databases like MongoDB
AWS
Azure
GCP
Docker
Kubernetes

Jobbeschreibung

AI Data Engineer (human)

Neura Robotics • Metzingen

Full‑time

Give Our Robots Consciousness

In the AI Department, you'll develop the cognitive abilities of our robots, enabling them to understand and interact with their surroundings. You'll work on algorithms that make machines intelligent and adaptive—ranging from object recognition and language processing to decision‑making in complex environments. You'll be part of a team that pushes technological boundaries and collaborates closely with software, hardware, and product management teams. Using cutting‑edge tools and methods from machine learning and AI, you'll work on projects that have a direct impact on our products. If you're excited about making machines smarter and shaping the future of human‑machine interaction, the AI Department is the perfect place for you.

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
  • 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
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 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
  • Excellent command of English; speaking German well is highly desirable
Benefits
  • Creative Freedom and Agility: dynamic, self‑reliant work culture with flat hierarchies, flexible hours, and 30 vacation days
  • Passion for Winning: work with a passionate and highly skilled team of international experts aiming to redefine robot assistants
  • Attractive Compensation: competitive salary package along with exclusive employee discounts
  • One Team: company celebrations such as summer parties or town hall meetings
  • Professional Growth: support for personal and professional development
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