Industrial Data Engineer — Azure Cloud Analytics & AI

GEA Germany GmbH

Alcobendas

Presencial

EUR 50.000 - 80.000

Jornada completa

Hace 4 días
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Descripción de la vacante

GEA Germany GmbH is seeking an Industrial Data Engineer to design, develop, and maintain scalable data pipelines, databases, and analytics platforms for cloud-based digital applications in the food and beverage sector. The role collaborates with Product Owners, Software Developers, Automation Engineers, and Process Experts to enable AI-driven analytics and predictive maintenance.

Based in Alcobendas (Spain) or other global locations, you will leverage Azure and Databricks to deliver robust data

Formación

  • Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related field.
  • Microsoft Azure or Databricks Certifications.
  • 3-7 years of experience in Data Engineering, Cloud Data Platforms, or Analytics Solutions.
  • Experience developing Azure cloud-based data solutions.
  • Experience working with large volumes of time-series and industrial data.
  • Fluent English (B2/C1) required.
  • Spanish or German would be considered a strong advantage.

Responsabilidades

  • Design, develop, and maintain scalable data pipelines, databases, and analytics platforms.
  • Support cloud-based digital applications for food and beverage processing plants.
  • Enable AI solutions, predictive maintenance, asset performance monitoring, and operational reporting.

Conocimientos

Data Engineering
Agile/Scrum
Analytical thinking

Educación

Bachelor's or Master's degree in Computer Science / Data Science / Engineering

Herramientas

Microsoft Azure
Databricks

Descripción del empleo

GEA Germany GmbH is seeking an Industrial Data Engineer to design, develop, and maintain scalable data pipelines, databases, and analytics platforms for cloud-based digital applications in the food and beverage sector. The role collaborates with Product Owners, Software Developers, Automation Engineers, and Process Experts to enable AI-driven analytics and predictive maintenance.

Based in Alcobendas (Spain) or other global locations, you will leverage Azure and Databricks to deliver robust data

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