Global Reliability SME, Mechanical Assets (f/m)

About the role

Heidelberg Materials is recruiting a Global Reliability SME for Mechanical Assets in its Digital Hub in Wrocław, Poland. As the central technical expert for mechanical asset reliability, you will support cement plants and heavy industry operations worldwide and help deploy and continuously improve predictive maintenance solutions such as C3.ai Reliability, DALOG, Machine Sentry and other asset health platforms.

Key responsibilities

• Define and validate the scope of mechanical assets for predictive maintenance programs and identify failure modes of critical equipment such as mills, kilns, crushers, conveyors, coolers, fans, gearboxes, pumps and compressors.
• Support RCM, FMEA, criticality assessments, root cause analyses and bad actor reviews, and turn failure mechanisms into monitoring requirements and maintenance actions.
• Support onboarding of assets into predictive maintenance and asset performance management platforms, validating asset structures, sensor mappings, equipment templates and operating context.
• Work with condition monitoring specialists and vibration analysts to confirm failure patterns and recommendations.
• Analyse predictive maintenance alerts and turn them into actionable maintenance recommendations, and help plant teams link reliability insights to maintenance planning and execution.
• Take part in troubleshooting and post-failure learning initiatives.
• Develop and maintain global asset reliability standards, templates and playbooks, share best practices across regions and contribute to Maintenance Excellence standards.

Required profile

• Degree in Mechanical Engineering, Reliability Engineering, Maintenance Engineering or a related field.
• At least 5 years of experience in maintenance, reliability or engineering roles in cement, aggregates, mining, power generation or similar heavy industries.
• Strong understanding of mechanical equipment reliability and maintenance practices.
• Fluent English.

Required skills

• Experience with preventive, condition-based or predictive maintenance programs.
• Knowledge of condition monitoring techniques such as vibration analysis, lubrication and thermography.
• Ability to interpret operational, sensor, historian and time-series data.
• Preferred: experience with C3.ai Reliability, DALOG, Machine Sentry or other predictive maintenance tools; CMRP or ISO 18436 Vibration Analysis certification; SAP PM or other CMMS experience; multi-site deployment or maintenance transformation experience.

What we offer

• The chance to shape a global Maintenance Excellence and predictive maintenance capability.
• Exposure to advanced reliability technologies, industrial AI and remote diagnostics, with 25% travel time.
• Collaboration with international teams across operations, engineering, digital, IT/OT and reliability functions.
• Continuous professional development in reliability engineering and asset performance management.