Predictive Reliability Engineer: Data-Driven Asset Optimizer

Predictive Reliability Engineer: Data-Driven Asset Optimizer

Full-Time 81000 - 99000 $ / year (est.) On-site
S

At a Glance

  • Tasks: Enhance equipment reliability and optimise maintenance strategies using data-driven insights.
  • Company: Join SRG Global Ltd, a leader in engineering excellence in Australia.
  • Benefits: Enjoy competitive pay, career growth, and a focus on innovation.
  • Other info: Be part of a dynamic team dedicated to minimising downtime and maximising efficiency.
  • Why this job: Make a real impact by improving plant asset performance with cutting-edge predictive technologies.
  • Qualifications: Experience in mechanical reliability engineering and strong analytical skills.

The predicted salary is between 81000 - 99000 $ per year.

SRG Global Ltd in Australia is seeking an experienced Mechanical Reliability Engineer to contribute to maintenance and engineering excellence.

You will focus on improving equipment reliability, optimizing maintenance strategies, and ensuring long-term mechanical integrity of plant assets.

A key emphasis will be condition monitoring and data-driven reliability improvements using predictive technologies, precision maintenance, and root cause analysis to minimise downtime and maximise performance.

#J-18808-Ljbffr

Predictive Reliability Engineer: Data-Driven Asset Optimizer employer: SRG Global Ltd

SRG Global is an exceptional employer, offering a dynamic work environment for Rope Access Trades & Technicians in the thriving Pilbara and Port Hedland regions. With competitive pay, ongoing training, and opportunities to work with Tier 1 mining clients, employees can expect a supportive culture that prioritises safety and career growth, making it an ideal place for those seeking meaningful and rewarding employment.

S

Contact Details:

SRG Global Ltd Recruitment Team

We think you need these skills to ace Predictive Reliability Engineer: Data-Driven Asset Optimizer

Mechanical Reliability Engineering
Condition Monitoring
Data-Driven Reliability Improvements
Predictive Technologies
Precision Maintenance
Root Cause Analysis
Equipment Reliability