BMS & Central Monitoring Operator - 24/7 Fire & Systems

Mandarin Oriental Hotel Group; Abu Dhabi; On-site; AED 70,000 - 110,000; Full time

Benefits offered by this job

MOstay

Heath amp Colleague Wellness

Retirement Plans

Job summary

Mandarin Oriental Hotel Group in Abu Dhabi seeks a skilled Control Room Operator to oversee the central monitoring station and related systems. You will manage 24-hour engineering emergency calls, generate diagnostic reports, and coordinate with field staff to ensure swift, safe resolutions.

The role requires experience in building management systems, strong English communication, and ability to perform predictive maintenance using maintenance software.

Qualifications

• Experience in luxury properties preferred.
• Certification or training in Building Management Systems (BMS) advantageous.
• Fluency in English required for clear communication.

Responsibilities

• Ensure the smooth operation of the central monitoring station and all associated systems.
• Manage and respond to 24-hour engineering emergency calls.
• Prepare diagnostic reports to support the technical team as per procedures.
• Monitor and control the Central Fire Alarm System.
• Record completed work orders and coordinate with field staff.
• Liaise with Fire, Gas, Electricity, Security and building management during emergencies.
• Respond to alarm reports and take prompt action to resolve issues.

Skills

English fluency

BMS knowledge

Engineering issue resolution

Predictive maintenance

Maintenance software

Luxury property experience

Education

BMS certification

Tools

Maintenance software applications

Job description

Mandarin Oriental Hotel Group in Abu Dhabi seeks a skilled Control Room Operator to oversee the central monitoring station and related systems. You will manage 24-hour engineering emergency calls, generate diagnostic reports, and coordinate with field staff to ensure swift, safe resolutions.

The role requires experience in building management systems, strong English communication, and ability to perform predictive maintenance using maintenance software.