Predictive Maintenance Technician - Golden Penny Foods at Flour Mills of Nigeria Plc

Purpose

• To carry out condition-based maintenance using predictive maintenance technologies to identify equipment defects early, improve asset reliability, minimize unplanned downtime, and support continuous improvement across milling operations.

The Job​

• Perform condition monitoring activities using vibration analysis, thermography, ultrasound testing, and other predictive maintenance techniques.
• Conduct dynamic and static testing on electric motors to detect potential faults and assess equipment performance.
• Monitor, analyze, and trend equipment condition data within the Computerized Maintenance Management System (CMMS).
• Diagnose mechanical, electrical, and instrumentation faults using predictive maintenance tools and techniques.
• Participate in root cause analysis (RCA) and recommend corrective actions to improve equipment reliability.
• Prepare detailed inspection reports, defect logs, and maintenance recommendations for timely corrective actions.
• Maintain, calibrate, and ensure the proper functioning of predictive maintenance equipment and diagnostic tools.

Qualifications

• 5 O-Level credits, including Mathematics and English/ NABTEB, or Trade Test Grade.
• NABTEB / City & Guilds (C&G) in a related discipline.

Experience:​

• Minimum of 2 years' cognate experience in predictive maintenance, condition monitoring, or industrial maintenance within an FMCG or manufacturing environment.

The Person Must: ​

• Possess practical knowledge of predictive maintenance techniques, including vibration analysis, thermography, ultrasound inspections, and condition monitoring.
• Demonstrate strong analytical, troubleshooting, and root cause analysis skills for rotating equipment and industrial machinery.
• Be proficient in interpreting equipment condition data and preparing technical maintenance reports using CMMS.