Flour Mills of Nigeria Plc has been a part of the lives of Nigerians at home and abroad. Our global vision is to be a leading foods company in Africa providing high quality and affordable products in the most convenient ways to consumers through world class brands like Golden Penny Flour, Golden Penny Semovita, Goldenvita, Golden Pasta and Golden Noodles. The Company’s flagship brand, Golden Penny, remains one of the best known and the preferred brands amongst bakers, confectioneries and consumers in Nigeria.

We are recruiting to fill the position below:

Job Title: Predictive Maintenance Technician

Location: Apapa, Lagos

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.

​Qualification​

• 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.

Application Closing Date
Not Specified.