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

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 ​

• The Predictive Maintenance Technician is responsible for executing condition-based maintenance using vibration analysis, thermography, ultrasound testing, and other predictive tools.
• The role supports in diagnosing issues, improving asset reliability, and reducing unplanned downtime.

The Job

• Predictive Maintenance & Condition Monitoring.
•  Perform vibration monitoring, thermography scans, ultrasound inspections on all equipment's also carryout dynamics and static test on all electric motors.
• Contribute to root cause analysis (RCA).
• Provide data-driven maintenance recommendations.
• To provide report on ORM audit and ensure proper tracking of all corrective action plan.
•  To generate a report on all defects identified and provide a tracker to ensure their timely closure.
•  Maintain and calibrate predictive maintenance tools.
• Track and trend equipment condition in Computerized Maintenance Management System (CMMS).
• Support troubleshooting of electrical, mechanical and instrumentation issues.

Qualifications​

• 5 O’ level Credits including English & Mathematics in not more than two sittings.

Experience:​

• Minimum of two years of Cognate experience in a related role.

The Person Must Have:​

• Have excellent verbal and written communication skills.
• Have good analytical and problem-solving skills to interpret machine condition data and recommend corrective actions.
• Be safety-conscious and adhere to maintenance and operational safety standards.
• Have strong understanding of predictive maintenance techniques such as vibration analysis, thermography, and ultrasound inspections.
• Have ability to operate, maintain, and calibrate predictive maintenance tools and equipment.

How to Apply
Interested and qualified candidates should:
Click here to apply