Global Electrical Reliability & Predictive Maintenance SME

Heidelberg Materials; Wrocław; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Private medical care

MultiSport membership

Job summary

Heidelberg Materials seeks a Global Reliability SME, Electrical Assets for its Wrocław Digital Hub. You will act as a central technical expert on electrical equipment reliability and predictive maintenance, collaborating with plant teams, maintenance and IT/OT teams to improve asset performance worldwide.

Responsibilities include defining predictive maintenance use cases for critical assets, supporting digital solutions like C3.ai Reliability, and standardizing reliability practices across the

Qualifications

• Degree in Electrical Engineering, Automation Engineering, Maintenance Engineering or a related field.
• Minimum 5 years of experience in electrical maintenance, reliability engineering or asset management within heavy industry.
• Strong understanding of electrical equipment, reliability principles and maintenance strategies.
• Experience interpreting operational and condition-monitoring data.
• Knowledge of maintenance management processes and CMMS/SAP PM environments.
• Fluent English.

Responsibilities

• Electrical Reliability & Asset Performance: Define and support predictive maintenance use cases for critical electrical assets.
• Predictive Maintenance & Digital Solutions: Support implementation and optimization of C3.ai Reliability and other asset health platforms.
• Plant Support & Troubleshooting: Investigate and evaluate electrical reliability alerts; recommend corrective actions.
• Standardization & Capability Building: Develop global standards and train maintenance teams in predictive maintenance.

Education

Degree in Electrical Engineering or related field

Tools

C3.ai Reliability

DALOG

Machine Sentry

CMMS SAP PM

Job description

Heidelberg Materials seeks a Global Reliability SME, Electrical Assets for its Wrocław Digital Hub. You will act as a central technical expert on electrical equipment reliability and predictive maintenance, collaborating with plant teams, maintenance and IT/OT teams to improve asset performance worldwide.

Responsibilities include defining predictive maintenance use cases for critical assets, supporting digital solutions like C3.ai Reliability, and standardizing reliability practices across the