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Engineering 🏢 Full Time ⭐️ Terverifikasi

Machine Health Specialist

Satellite Office
Ortigas, Metro Manila, Philippines
Estimasi Gaji
PHP 60.000 – PHP 90.000
Live Update
13 Mei 2026
Batas Akhir
13 Mei 2027

Deskripsi Pekerjaan

Are you a technical expert with a passion for predictive maintenance and heavy equipment diagnostics? Satellite Office is seeking a skilled Machine Health Specialist to join our expanding team. In this pivotal role, you will act as the frontline guardian of operational efficiency, monitoring the health status of sophisticated mining equipment from a centralized remote environment.

You will leverage advanced telemetry data, vibration analysis, and diagnostic software to identify potential mechanical failures before they occur. This position is perfect for a detail-oriented engineering professional who thrives on data-driven decision-making and is committed to minimizing downtime for our global mining operations.

At Satellite Office, we pride ourselves on fostering a collaborative environment where technical excellence is recognized and rewarded. If you are ready to elevate your career in industrial diagnostics, apply today.

Tanggung Jawab

  • Continuously monitor real-time telemetry and health data for a diverse fleet of heavy mining equipment.
  • Analyze vibration, temperature, and pressure sensor data to detect anomalies and emerging mechanical issues.
  • Generate detailed health status reports and technical recommendations for site-based maintenance teams.
  • Collaborate with field technicians to validate diagnostic findings and optimize repair schedules.
  • Develop and refine predictive maintenance thresholds to improve equipment reliability and longevity.
  • Escalate critical machine alerts according to standard operating procedures to prevent operational disruptions.
  • Maintain comprehensive logs of machine performance, failure history, and diagnostic interventions.

Kualifikasi

  • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or a related technical discipline.
  • Minimum of 3 years of experience in heavy equipment maintenance, condition monitoring, or asset health management.
  • Proficiency in using remote monitoring software and diagnostic tools for industrial machinery.
  • Strong analytical mindset with the ability to interpret complex data trends and mechanical schematics.
  • Excellent communication skills to effectively relay technical information to non-technical stakeholders.
  • Ability to work in a high-pressure environment with rotating shifts to support global time zones.
  • Solid understanding of preventative and predictive maintenance methodologies (e.g., RCM, TPM).

Keahlian yang Dibutuhkan

Predictive Maintenance Condition Monitoring Heavy Equipment Diagnostics Data Analysis Industrial Engineering Telemetry Systems Mechanical Troubleshooting Reliability Engineering

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