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A leading global provider of integrated facilities and corporate real estate management seeks a Reliability and Sustainability Manager. This full-time role is based in London and focuses on improving equipment availability through reliability-centered maintenance. The ideal candidate holds a Level 3 engineering apprenticeship and possesses strong communication and statistical analysis skills, alongside relevant reliability expertise. Responsibilities include monitoring, data analysis, managing installations, and supporting sustainable maintenance solutions.
Job Description: Reliability and Sustainability Manager
Job ID: 228149
Posted: 16-Jul-2025
Service line: GWS Segment
Role type: Full-time
Areas of Interest: Engineering/Maintenance
Location(s): London - England - United Kingdom of Great Britain and Northern Ireland
The purpose of the role is:
CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. A unique opportunity has arisen for a reliability professional to join the divisional reliability team, supporting various accounts with their reliability-centered maintenance programs.
The successful candidate will play a key role within the business intelligence team, focusing on asset lifecycle management, condition monitoring, and reliability-centered maintenance across multiple sites, aiming to improve equipment availability and uptime while minimizing impact on clients' operations.
This role involves performing monthly condition monitoring on client sites, analyzing data for abnormalities, and making recommendations. It also includes identifying project opportunities, managing installations, and supporting sustainable maintenance solutions.
Flexible working arrangements are available, with most employees working from home at least twice a month. The role involves:
The ideal candidate will have at least an Level 3 engineering apprenticeship qualification, with relevant reliability and condition monitoring skills and certifications. Strong communication skills and experience with statistical analysis are essential.