Heidelberg Materials is one of the world's largest integrated manufacturers of building materials and solutions with leading market positions in cement, aggregates, and ready-mixed concrete. We are represented in more than 50 countries with around 51,000 employees at almost 3,000 locations and now we’re seeking to recruit in Heidelberg Materials Digital Hub Wrocław

Global Reliability SME, Electrical Assets

Location Poland, Wrocław.

About the Role

We are looking for an experienced Global Reliability SME, Electrical Assets who will act as a central technical expert for electrical equipment reliability and predictive maintenance. In this role, you will collaborate with plant teams, maintenance specialists, digital experts and external partners to improve asset performance, equipment availability and operational excellence worldwide.

Your Responsibilities

Electrical Reliability & Asset Performance

• Define and support predictive maintenance use cases for critical electrical assets.
• Analyze electrical failure modes and reliability risks.
• Conduct and support criticality assessments, root cause analyses and reliability improvement initiatives.
• Translate electrical failure mechanisms into monitoring requirements and maintenance recommendations.

Predictive Maintenance & Digital Solutions

• Support implementation and optimization of C3.ai Reliability and other asset health platforms.
• Validate asset structures, sensor mappings and data quality.
• Analyze trends and alerts using electrical, operational and condition-monitoring data.
• Collaborate closely with plant maintenance, automation, IT/OT and reliability teams.

Plant Support & Troubleshooting

• Investigate and evaluate electrical reliability alerts.
• Recommend corrective and preventive maintenance actions.
• Support troubleshooting of recurring electrical equipment issues.

Standardization & Capability Building

• Develop global standards, guidelines and failure mode libraries for electrical assets.
• Train and coach maintenance and electrical teams in asset health interpretation and predictive maintenance processes.
• Promote the adoption of reliability-centered maintenance approaches throughout the organization.

Required Qualifications & Experience

• 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.

Preferred Experience

• Experience with motors, VFDs, transformers, switchgear and power distribution systems.
• Background in cement, mining, aggregates, power generation or other heavy industrial sectors.
• Experience with predictive maintenance and asset performance management platforms.
• Familiarity with C3.ai Reliability, DALOG, Machine Sentry or similar solutions.
• Knowledge of OT systems, industrial historians, SCADA or electrical protection systems.
• Reliability or electrical safety certifications are an asset.

What We Offer

• Opportunity to contribute to a global reliability and predictive maintenance transformation.
• Exposure to state-of-the-art industrial AI, condition monitoring and asset health technologies.
• International environment with cooperation across multiple countries and business functions, ca. 25% travel time.
• Direct impact on reliability, sustainability and operational performance.
• Professional development opportunities within a global industry leader.
• A culture built on safety, continuous improvement and innovation.
• Hybrid working model
• Comprehensive employee benefits package, including private medical care, MultiSport membership, holiday and children's summer camp allowances, as well as financial support for cultural and sports activities

Ready to Build the Future With Us?

If you are passionate about maintenance and want to contribute to smarter, safer, and more efficient industrial operations, we would like to hear from you.

We look forward to receiving your application.