Specialist AI & Data Engineer (m/w/d) at Nagel-Group Logistics SE
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

16 Dec, 26

Salary

50000.0

Posted On

17 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description



At the Nagel-Group, over 10,500 colleagues from around 90 nations work daily to ensure that food products arrive safely and on time throughout Europe, wherever they are needed. We are systemically important, future-proof, and constantly evolving. Become part of our team and help us shape the future of temperature-controlled logistics.

Specialist AI & Data Engineer (m/f/d)


FILL THE REFRIGERATORS OF EUROPE WITH US – WELCOME TO FOOD LOGISTICS!

These are the tasks

  • Development and operation of modern data platforms, data pipelines and data products based on current cloud technologies.
  • Integration, transformation, and provision of structured and unstructured data from different enterprise systems
  • Development and operationalization of machine learning, AI and agent solutions to support data-driven business decisions.
  • Design and implementation of robust backend components, APIs and data services for a future-proof data and AI landscape
  • Ensuring data quality, data availability, governance, security, and continuous development of scalable analytics and AI solutions.


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Responsibilities



At the Nagel-Group, over 10,500 colleagues from around 90 nations work daily to ensure that food products arrive safely and on time throughout Europe, wherever they are needed. We are systemically important, future-proof, and constantly evolving. Become part of our team and help us shape the future of temperature-controlled logistics.

Specialist AI & Data Engineer (m/f/d)


FILL THE REFRIGERATORS OF EUROPE WITH US – WELCOME TO FOOD LOGISTICS!

These are the tasks

  • Development and operation of modern data platforms, data pipelines and data products based on current cloud technologies.
  • Integration, transformation, and provision of structured and unstructured data from different enterprise systems
  • Development and operationalization of machine learning, AI and agent solutions to support data-driven business decisions.
  • Design and implementation of robust backend components, APIs and data services for a future-proof data and AI landscape
  • Ensuring data quality, data availability, governance, security, and continuous development of scalable analytics and AI solutions.


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