Industrial Data Engineer: Cloud IoT & AI Analytics

gea; Naas; On-site; EUR 70,000 - 110,000; Full time

Job summary

gea in Ireland (Naas) is seeking an Industrial Data Engineer to design, develop, and maintain scalable data pipelines, databases, and analytics platforms supporting cloud-based digital applications for food and beverage processing plants. You will collaborate with Product Owners, Software Developers, and Process Experts to enable AI-driven analytics and predictive maintenance.

Based in Naas, the role offers opportunities across global sites, with focus on Azure/Databricks data solutions,

Qualifications

• Bachelor's or Master's degree in CS/DS/Engineering or related field.
• Microsoft Azure or Databricks Certifications.

Responsibilities

• Design, develop, and maintain scalable data pipelines for cloud-based analytics.
• Build data models, schemas, and data architectures to support analytics and ML.
• Develop ETL/ELT processes for data integration and analytics.
• Create API integrations using REST services and JSON.
• Establish data quality, governance, security, and lifecycle standards.
• Ensure scalable and reliable data architectures aligned with enterprise standards.
• Integrate operational and equipment data from industrial systems into cloud platforms.
• Collaborate with cross-functional teams to deliver data-driven solutions.

Skills

Microsoft Azure

Databricks

InfluxDB

Time-Series Data

REST APIs

Data Modelling

Data Governance

Metadata Management

Agile/Scrum

IEC 62443 awareness

English proficiency

Education

Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related field

Tools

Azure

Databricks

InfluxDB

Job description

gea in Ireland (Naas) is seeking an Industrial Data Engineer to design, develop, and maintain scalable data pipelines, databases, and analytics platforms supporting cloud-based digital applications for food and beverage processing plants. You will collaborate with Product Owners, Software Developers, and Process Experts to enable AI-driven analytics and predictive maintenance.

Based in Naas, the role offers opportunities across global sites, with focus on Azure/Databricks data solutions,