Maintenance Engineer: Asset Reliability & Predictive Tech

Maintenance Engineer: Asset Reliability & Predictive Tech

Full-Time 82800 - 101200 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead preventative and predictive maintenance to optimise asset reliability.
  • Company: Join Bridgestone Australia, a leader in sustainable practices.
  • Benefits: Competitive salary, career growth, and a focus on safety.
  • Other info: Collaborate with teams across Australia and New Zealand.
  • Why this job: Make an impact with AI and machine learning in a dynamic environment.
  • Qualifications: Experience in maintenance engineering and strong problem-solving skills.

The predicted salary is between 82800 - 101200 $ per year.

Bridgestone Australia invites an experienced Maintenance Engineer to lead preventative and predictive maintenance across our Salisbury (SA) and Wacol (QLD) facilities. You’ll optimize asset reliability, coordinate major overhauls, and drive data‑driven decision making with AI and machine learning tools.

You’ll report to the National Manager, Bandag Factories, work with operations, contractors, and suppliers across Australia and New Zealand, and champion safety and sustainable practices.

Maintenance Engineer: Asset Reliability & Predictive Tech employer: P.T. Bridgestone Tire Indonesia

Bridgestone is an exceptional employer that prioritises the growth and wellbeing of its employees, offering a supportive and friendly work culture. As part of our Digital team in Australia and New Zealand, you'll have the opportunity to engage in meaningful projects that enhance customer experiences while enjoying benefits like competitive remuneration, flexible working arrangements, and annual paid volunteer leave. Join us in a dynamic environment where your contributions are valued, and you can thrive both personally and professionally.

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Contact Details:

P.T. Bridgestone Tire Indonesia Recruitment Team

We think you need these skills to ace Maintenance Engineer: Asset Reliability & Predictive Tech

Preventative Maintenance
Predictive Maintenance
Asset Reliability
Data-Driven Decision Making
AI Tools
Machine Learning Tools
Project Coordination