Reliability Engineer | Work Onsite - Ortigas

Satellite Office; Metro Manila; On-site; PHP 550,000 - 850,000; Full time

Job summary

Satellite Office seeks a Machine Health Specialist (Reliability) to monitor a fleet of mining equipment from a remote monitoring centre, identifying issues early to minimize downtime and extend asset life.

You'll analyze sensor data, maintain health dashboards (Grafana, PowerBI, Tableau, Excel), and collaborate with on-site teams to implement proactive maintenance strategies that improve safety and performance across operations.

Qualifications

• At least 1 year of experience in machine health.
• Proficient in monitoring systems (Grafana) and analytics dashboards (PowerBI/Tableau) and Excel.
• Experience using predictive maintenance tools.
• Bachelor's degree in Engineering.

Responsibilities

• Continuous monitoring and data analysis of health sensors and diagnostic systems.
• Read trends to detect faults, wear, and inefficiencies; provide corrective-action recommendations.
• Own and manage equipment health dashboards; track uptime and maintenance KPIs.
• Coordinate with on-site maintenance teams for timely troubleshooting.
• Suggest predictive maintenance plans and optimize model accuracy.

Skills

Machine health

Data analytics

Maintenance coordination

Communication

Education

Bachelor's degree in Engineering

Tools

Grafana

PowerBI

Tableau

Excel

Job description

MACHINE HEALTH SPECIALIST (Reliability)

Work for our global clients and immerse in our rich and diverse company culture where you can thrive, grow and just be aweSOme!

WHAT IS A/AN MACHINE HEALTH SPECIALIST (Reliability)?

Be the early warning system for an entire fleet of mining equipment. From a remote monitoring centre, you'll oversee the performance, diagnostics, and health of heavy machinery — spotting issues before they become breakdowns, minimizing downtime, and extending equipment life across mining operations.

Ideally you're a mechanical engineer with hands-on experience maintaining mobile equipment — underground trucks, loaders, drills, and similar heavy machinery.

WHAT WILL BE YOUR MAIN RESPONSIBILITIES?

Continuous Monitoring & Data Analysis — Monitor real-time data from machine health sensors, IoT devices, and diagnostic systems. Use remote monitoring software and predictive analytics to track performance, catching anomalies, early wear, and maintenance needs. Own and manage the equipment health dashboard, covering status and operational alerts.

Diagnostics & Fault Detection — Read the data and trends to detect mechanical faults, wear and tear, and inefficiencies. Deliver detailed analysis and corrective-action recommendations drawing on vibration analysis, temperature monitoring, and fuel usage. Work with on-site maintenance teams for timely troubleshooting and resolution.

Predictive Maintenance — Implement and improve predictive models that forecast failures before they happen. Partner with the maintenance team to schedule activity around predicted failure data, minimizing unscheduled downtime, and refine the models against performance and historical trends.

Reporting & Documentation — Produce regular reports on equipment health, performance trends, and significant issues for management. Document all maintenance, diagnostics, and corrective actions in line with operational and safety standards. Track KPIs across uptime, failure rates, and maintenance effectiveness.

Collaboration with On-site Teams — Be the point of contact for site personnel on equipment health and maintenance schedules. Provide remote support and guidance to technicians and operators, especially on complex issues, and keep site teams across maintenance priorities and urgent items.

Technology & System Management — Keep all monitoring systems, sensors, and software fully operational and integrated with equipment. Liaise with IT support on software and hardware infrastructure. Stay ahead of new technology and bring in solutions that improve monitoring and predictive capability.

Health, Safety & Compliance — Ensure monitoring activities meet safety regulations, industry standards, and environmental requirements. Drive continuous improvement in safety, efficiency, and cost. Take part in safety audits and use health data to improve equipment safety features.

• Machine Uptime — equipment uptime vs. downtime from failures

• Predictive Maintenance Accuracy — share of maintenance taken proactively from predictive signals

• Fault Detection Time — average time from detecting a fault to resolving it

• Cost Reduction — drop in unplanned maintenance costs through early detection

• Data Integrity & Accuracy — quality of diagnostic reports and monitored data

• Health & Safety Compliance — safety incidents related to equipment health and monitoring

WHAT ARE WE LOOKING FOR?

• At least 1 year of experience in machine health
• Proficient in using monitoring systems (Grafana), data analytics dashboards (PowerBI, Tableau) and spreadsheets (Excel)
• Experience using predictive maintenance tools
• Bachelor's degree in Engineering

Preferred qualifications

• Previously worked in the direct mining industry or any relevant industry