IIoT Engineer: Cloud‑Connected Automation & Analytics

gea

Naas

Hybrid

EUR 70,000 - 110,000

Full time

4 days ago
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Job summary

GEA in Ireland is seeking an experienced IIoT Engineer to design, implement and support cloud-connected automation solutions for food & beverage equipment. You’ll work across Azure, time-series analytics (InfluxDB/Databricks) and OT cybersecurity to enable real-time monitoring, predictive maintenance and energy optimization.

You’ll collaborate with product managers and automation engineers, drive standardized data models and scalable architectures, and help deliver sustainable digital

Qualifications

  • 5+ years in Industrial Automation, IIoT, Cloud Engineering, or Digital Solutions.
  • Experience delivering cloud-based software using Microsoft Azure.
  • Experience with InfluxDB and Databricks for time-series data management, analytics, reporting.

Responsibilities

  • Design, implement and support IIoT solutions that connect equipment with cloud-based apps and analytics.
  • Integrate Siemens and Rockwell automation with cloud platforms.
  • Develop digital applications for monitoring, predictive maintenance, energy management and production analytics.
  • Implement edge-to-cloud connectivity for real-time data collection and monitoring.
  • Standardize digital architectures, data models and integration frameworks.
  • Ensure IIoT solutions comply with OT cybersecurity standards.

Skills

IIoT
Azure
Data analytics
Industrial control systems
Agile/Scrum
OT cybersecurity
English (B2/C1)
Spanish/German advantage

Education

Bachelor's or Master's in Electrical/Automation/CS

Tools

Microsoft Azure
InfluxDB
Databricks

Job description

GEA in Ireland is seeking an experienced IIoT Engineer to design, implement and support cloud-connected automation solutions for food & beverage equipment. You’ll work across Azure, time-series analytics (InfluxDB/Databricks) and OT cybersecurity to enable real-time monitoring, predictive maintenance and energy optimization.

You’ll collaborate with product managers and automation engineers, drive standardized data models and scalable architectures, and help deliver sustainable digital

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