Azure Data Engineer for Industrial Analytics & AI

GEA Germany GmbH; Naas; On-site; EUR 70,000 - 95,000; Full time

Job summary

GEA is seeking an Industrial Data Engineer to design, develop, and maintain scalable data pipelines and analytics platforms for cloud-based applications in the food and beverage sector. The role offers collaboration across Product Owners, Software Developers, Automation Engineers, and Process Experts, enabling AI, predictive maintenance, and asset performance monitoring.

The ideal candidate has 3–7 years of data engineering experience, with Azure/Databricks expertise, and a strong focus on data

Qualifications

• Bachelor's or Master's in CS/Data Science/Engineering required.
• Experience with Azure Databricks and cloud-based data solutions.
• Proficient in time-series data management and data modelling.
• Familiar with Agile/Scrum development practices and IEC 62443 awareness.

Responsibilities

• Design, develop, and maintain scalable data pipelines and analytics platforms.
• Collaborate with Product Owners, Software Developers, and Process Experts.
• Enable AI-driven analytics, predictive maintenance, and operational reporting.
• Ensure data governance, security, and lifecycle management across platforms.

Skills

Azure Databricks

Time-series data

REST APIs

Data Modeling

Agile/Scrum

Education

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

Tools

Azure Cloud

Databricks

REST APIs

Job description

GEA is seeking an Industrial Data Engineer to design, develop, and maintain scalable data pipelines and analytics platforms for cloud-based applications in the food and beverage sector. The role offers collaboration across Product Owners, Software Developers, Automation Engineers, and Process Experts, enabling AI, predictive maintenance, and asset performance monitoring.

The ideal candidate has 3–7 years of data engineering experience, with Azure/Databricks expertise, and a strong focus on data