Predictive Reliability Engineer - Pharma Manufacturing

Sanofi; Waterford; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

Sanofi in Waterford, Ireland, seeks a Reliability Engineer to drive reliability improvements for Fill and Finish systems and manage predictive maintenance data. You’ll lead RCA/FMEA activities, optimise maintenance strategies, and work across production, quality, and engineering to comply with GMP.

You will analyse KPIs, develop business cases for upgrades, and support deviations, CAPAs, and change controls while applying Lean Six Sigma methodologies in a compliant manufacturing setting.

Qualifications

• Bachelor's degree in Engineering or related field.
• Significant reliability engineering experience in pharma or sterile manufacturing.

Responsibilities

• Lead reliability improvement initiatives for Fill and Finish equipment.
• Develop predictive and preventive maintenance strategies to maximise uptime and OEE.
• Conduct RCA and FMEA for equipment failures and chronic issues.
• Monitor MTBF, MTTR, and availability to drive improvements.
• Review preventive maintenance schedules based on criticality and history.
• Support transition to predictive/condition-based maintenance.
• Collaborate with maintenance to update SOPs and work instructions.
• Provide troubleshooting support and resolve equipment constraints.
• Support qualification, validation, and change control activities (GMP).
• Own or support deviations, CAPAs, and change controls.

Skills

RCA

FMEA

RCM

Data analysis

Vibration analysis

Thermography

Oil analysis

Lean Six Sigma

Cross-functional collaboration

Education

Bachelor's degree in Engineering

Tools

CMMS

Data visualization tools

Job description

Sanofi in Waterford, Ireland, seeks a Reliability Engineer to drive reliability improvements for Fill and Finish systems and manage predictive maintenance data. You’ll lead RCA/FMEA activities, optimise maintenance strategies, and work across production, quality, and engineering to comply with GMP.

You will analyse KPIs, develop business cases for upgrades, and support deviations, CAPAs, and change controls while applying Lean Six Sigma methodologies in a compliant manufacturing setting.