Plant Process Data Engineer (IoT Analytics)

Job Description

The Plant Process Data Engineer (IoT Analytics) is responsible for collecting, managing, and analyzing industrial process data generated from plant equipment and production systems. The role develops IoT-based analytics solutions that improve manufacturing performance, equipment reliability, and operational efficiency. Working closely with process engineers and production teams, the engineer transforms raw industrial data into actionable insights. The position also supports predictive maintenance initiatives and continuous process optimization.

Key Responsibilities
Collect process data from industrial IoT devices and sensors.
Develop dashboards for production and equipment monitoring.
Analyze manufacturing data to identify performance improvements.
Support predictive maintenance using machine learning models.
Integrate plant systems with industrial data platforms.
Ensure data accuracy, integrity, and security across systems.
Create reports for production, maintenance, and management teams.
Collaborate with automation engineers on digital projects.
Optimize data pipelines and industrial analytics solutions.
Document analytical models and data engineering processes.