Reliability Engineer

Prysmian is the world leader in the energy and telecom cable systems industry. Each year, the company manufactures thousands of miles of underground and submarine cables and systems for power transmission and distribution, as well as medium low voltage cables for the construction and infrastructure sectors.

We also produce a comprehensive range of optical fibers, copper cables and connectivity for voice, video and data transmission for the telecommunication sector.

We are 30,000 employees, across 50+ countries. Everyone at Prysmian has the potential to make their mark; because whatever you do, wherever you are based, you will be part of a company that is helping transform the world around us.

Responsibilities

• Define and drive site reliability improvement strategy.
• Provide technical expertise, data analysis, planning, and implementation to improve equipment availability and assess utilization.
• Proactively analyze plant reliability and down-time data to identify current and potential defects.
• Analyze work order trends, predictive equipment information, manufacturer specifications, documentation and failure analysis data to prepare operating and maintenance strategies.
• Mentor maintenance mechanics in reliability based maintenance techniques
• Write repair plans and scopes of work for equipment repairs.
• Lead root cause analysis to evaluate the causes of equipment failures.
• Resolve and prevent reliability defects by removing validated root causes and verifying effectiveness of solutions.
• Lead the development and implementation of reliability based capital improvement projects and cost projects.
• Work with Process Engineers, Facilities Manager and PM engineer to develop scopes of work and final design for capital improvements and modifications to process equipment to improve their reliability.
• Communication of reliability program efforts within the organization.
• Participate in Reliability Centered maintenance exercises and implement changes to improve equipment reliability.
• Develop maintenance templates for mechanical equipment.
• Assist Process Engineers and operators in troubleshooting equipment problems.
• Considers impact of costs on recommended action plans for avoiding / correcting problems during the design phase or remedial action for correcting reliability problems on installed equipment;

and performs root cause failure analysis to help prevent failures.

• Assignments are broad in nature and require appreciable originality and ingenuity for completing the assignments which have considerable latitude for un-reviewed action or decisions.
• Determines the cost advantages of alternatives for developing action plans to comply with internal / external customer demands for reliability processes / equipment to avoid failures.
• These strategies are designed to maximize return on investment and provide optimum asset utilization with minimal maintenance expense.
• Follows company safety and health guidelines and other company policies.
• Performs other work as assigned.

Key Requirements

• Excellent verbal and written communication skills.
• Ability to complete tasks with minimal supervision.
• Good communicator, team player, and self motivated.
• Adaptable to changing work environments and business needs.
• Good troubleshooting / root cause investigation skills. "Hands on" mentality. Desire to learn new skills and concepts.
• Originates and develops analysis methods for determining reliability of components, equipment, and processes.
• Prepares diagrams, charts, drawings, calculations, and reports for defining reliability problems and makes recommendations for improvements.
• Proficient in Microsoft Office software (Word, Excel, Access, Outlook, etc.)
• Experience in the design of process equipment and piping systems
• Experience in reliability engineering tools such as Root Cause Failure Analysis
• Green Belt Lean Sigma.
• Proven ability to work in teams.
• Demonstrated leadership and ownership in improvement efforts and problem resolution.

Qualifications

• Bachelor's degree in engineering, statistics, mathematics or equivalent.
• 2+ years' work experience in manufacturing

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