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This specialist aims to improve equipment availability, reduce unplanned downtime and increase the efficiency of industrial maintenance.
Responsibilities
His responsibilities include:
Design and optimize preventive maintenance and reliability strategies.
Implement RCM, FMEA and FMECA methods.
Study the causes of recurring failures and propose sustainable solutions.
Conduct statistical reliability analyses and criticality studies.
Operate equipment monitoring data: vibration, thermography, oil analysis and ultrasound.
Identify priority interventions and alert thresholds.
Contribute to the planning of works and maintenance stops.
Optimize spare parts strategies.
Participate in equipment renewal decisions and life cycle cost studies.
Intervene in the reliability analysis of railway, port, mechanical, electrical and civil infrastructures.
Develop performance and reliability dashboards.
Train technical teams in good asset management practices.
Candidate profile
Education / Qualifications
Degree: University degree in engineering.
Experience
Experience: Minimum 10 years in engineering or asset management, of which at least 5 years in the mining sector or equivalent environment.
Skills:
Expertise in reliability and industrial asset management.
Mastery of statistical analysis, including Weibull.
Knowledge of ISO 55000 and ISO 14224.
Mastery of equipment condition monitoring methods.
Knowledge of CMMS/EAM maintenance systems.
Ability to leverage Power BI and APM tools.
Analysis of complex data and establishment of indicators.
Understanding of mechanical, electrical and civil equipment.
Experience in coaching multidisciplinary teams.
Strong leadership and problem-solving skills.
A certification or specialized training in reliability, asset management or equipment monitoring is an advantage.
English: an asset.
Candidate profile
University Degree in Engineering
Minimum 10 years of experience in engineering or asset management, including at least 5 years in the mining sector or equivalent environment
Expertise in reliability and industrial asset management
Mastery of statistical analysis, including Weibull
Knowledge of ISO 55000 and ISO 14224
Mastery of equipment condition monitoring methods
Knowledge of CMMS/EAM maintenance systems
Ability to leverage Power BI and APM tools
Analysis of complex data and establishment of indicators
Understanding of mechanical, electrical and civil equipment
Experience in coaching multidisciplinary teams
Strong leadership and problem-solving skills
Certification or specialized training in reliability, asset management or equipment monitoring (advantage)
English (asset)
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Your safety comes first — read before you go
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