هذه الوظيفة لم تعد متاحة
انتهت صلاحية هذه الوظيفة في 20/09/2026. لم تعد تقبل الطلبات.
Reliability Electrical Engineer – Steel Industry
UNITED STEEL INDUSTRIAL CO. · Al Khiran
وصف الوظيفة
About the role
The Reliability Electrical Engineer will lead the development and optimisation of maintenance strategies for critical electrical assets in a steel manufacturing environment. You will apply reliability engineering methods to reduce downtime, improve safety, and support long‑term asset performance.
Key responsibilities
- Develop and optimise maintenance strategies (RCM, FMEA, PM optimisation).
- Define criticality ranking and risk‑based maintenance approaches.
- Standardise reliability engineering methodologies and lead root‑cause analysis for major failures.
- Validate technical conclusions, corrective actions and ensure elimination of systemic failure patterns.
- Support CAPEX justification and lifecycle cost analysis using reliability data.
- Identify chronic assets, analyse Weibull trends and failure statistics.
- Ensure SAP‑PM data integrity for reliability studies and act as technical reference for maintenance teams.
- Mentor engineers, challenge technical decisions when required and align training programmes with reliability best practices.
- Prepare weekly, monthly and annual reliability reports for management review.
Required profile
- Bachelor’s degree in Electrical Engineering (Master’s degree advantageous).
- Minimum 8 years of experience in electrical maintenance, reliability engineering or asset performance, with at least 3 years in electrical reliability engineering.
- Proven experience with RCM and condition‑based monitoring in steel or heavy‑industry environments.
- Professional certifications in reliability engineering, RCM, vibration analysis or condition monitoring are a plus.
Required skills
- Strong knowledge of electrical engineering principles and steel‑plant equipment.
- Proficiency in reliability methods (FMEA, RCM) and risk assessment.
- Expertise in root‑cause analysis techniques (fault tree, fishbone, Pareto).
- Ability to analyse data, identify trends and develop preventive/predictive maintenance strategies.
- Familiarity with condition‑monitoring techniques (vibration, thermography, oil analysis).
- Experience with CMMS/EAM tools and SAP PM/MM.
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