Senior Predictive Maintenance & Condition Monitoring Specialist

Sasol Limited; Secunda; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Sasol Limited is seeking a skilled Condition Monitoring professional to monitor equipment health and reliability in mining operations. You will support predictive maintenance programs, advise on failures, and help optimise machine availability while ensuring safety and quality standards.

You will work with CM data, coordinate with maintenance teams, and contribute to continuous improvement of failure modes analysis and technology adoption in a mining context.

Qualifications

• Relevant technical degree or diploma in engineering or instrumentation.
• Experience with vibration, laser alignment, thermography and ultrasound CM.
• Knowledge of predictive maintenance in mining or heavy industries.

Responsibilities

• Provide technical expertise to ensure reliability and availability of CM systems.
• Establish predictive maintenance programmes and identify deviations.
• Guide data assimilation, interpretation and context for multiple projects.
• Execute predictive maintenance plans to optimise machine availability for production.
• Coordinate with production and maintenance to align with budget.
• Ensure compliance with mechanical engineering standards and QA.

Skills

Laser alignment

Thermography

Ultrasound CM

Vibration analysis

Oil analysis

Education

National Diploma /B-Tech / Bachelor's degree

National Senior Certificate / N3 with Maths, Science and English

Qualified Artisan Trade Test (Electro-Mechanical preferred)

Tools

AMS Suite / CSI Condition Monitoring System (Wish)

Job description

Sasol Limited is seeking a skilled Condition Monitoring professional to monitor equipment health and reliability in mining operations. You will support predictive maintenance programs, advise on failures, and help optimise machine availability while ensuring safety and quality standards.

You will work with CM data, coordinate with maintenance teams, and contribute to continuous improvement of failure modes analysis and technology adoption in a mining context.