Rotating Equipment Engineer

Key Responsibilities:

• Analyze customer technical specifications, define relevant use cases, and develop implementation strategies for digital solutions.
• Collect, clean, and interpret operational data from diverse sources such as Historian, MMS, SAP, and other plant systems.
• Apply statistical techniques to identify trends, anomalies, and performance patterns.
• Translate data insights into machinery fault modes and reliability insights.
• Develop, validate, and deploy Predictive Analytics applications for industrial assets and rotating equipment.
• Integrate predictive models with plant historians and enterprise systems to support predictive maintenance initiatives.
• Provide technical support, training, and documentation to facilitate solution adoption and effective end-user engagement.
• Collaborate with reliability, maintenance, and IT/OT teams to design and execute predictive maintenance strategies.
• Document all technical aspects of solution design, configuration, and implementation in alignment with project standards.
• Stay current with emerging technologies and methodologies in Industry 4.0, predictive analytics, machine learning, and industrial AI applications.

Requirements

• Bachelor’s degree in Electrical, Mechanical, Mechatronics, Aerospace, or IT Engineering.
• 0–4 years of experience in Digitalization, Reliability, or Asset Management disciplines.
• Strong understanding of rotating equipment operations, fault modes, maintenance strategies, and asset performance management.
• Familiarity with machine learning, statistical modeling, and anomaly detection.
• Excellent analytical, troubleshooting, and problem-solving abilities in complex industrial environments.
• Strong communication and presentation skills, with attention to detail.
• Proven ability for self-learning and continuous improvement.

Preferred Skills:

• Familiarity with Asset Performance Management (APM) products such as AVEVA APM, IBM Maximo Predict, Honeywell Forge, or Hexagon HxGN APM.
• Knowledge of networks, servers, historians, databases, APIs, and communication protocols.
• Hands-on experience with SQL, Python, R, or similar scripting languages, and data integration tools.

Benefits

Social & Medical Insurance

Annual Bonus