_{18th March, 2026}

About Us: 
Autonomy & Asset Management Group is an Australian based business supporting the mining & resource industry. We provide a range of services that include Automation and Technology, Asset Management and Skilled Trades to support large-scale mining projects. 

AAMG is seeking an experienced Reliability Engineer with developing/coding experience. The purpose of this role is to support development and maintenance of predictive analytics models for Asset Health diagnosis and prognosis of mining equipment. 


Key Role Tasks:

• Development of predictive Asset Health models within enterprise applications. 
• Monitor, evaluate and optimise the effectiveness of predictive Asset Health models. 
• Establish understanding of failure modes, monitorable symptoms and rectifying actions for key mining and fixed plant equipment. 
• Support delivery of the Asset Health program of work to scale and deploy the predictive models.
• Collaborate with teams at our operations as well as other central groups to identify and develop high value asset health monitoring opportunities.
• Work to improve the enterprise health monitoring systems to increase monitoring quality and efficiency.
• Support system improvement work and upgrades. 

Role Requirements:

• A collaborative problem-solving mindset and interest in solving difficult technical maintenance problems utilising analytics and data. 
• Demonstrated experience with reliability engineering processes in asset intensive industries. 
• Engineering or trade background and demonstrated experience in relevant fields. 
• Understanding of reliability methods such as Reliability Centred Maintenance (RCM), Failure mode & Effects Analysis (FMEA) and Root Cause Analysis (RCA). 
• Condition monitoring analysis experience (Oil analysis, Vibration analysis, sensor data etc) 
• Understanding statistical modelling methods to analyse large datasets. 
• Programming experience developing code to process and analyse time series data. 
• Experience developing with Python and SQL. 
• Demonstrated experience working with enterprise time series data historians such as AVEVA Pi and cloud data platforms such as Snowflake. 
• Experience with agile software development methodology. 
• Excellent communication skills as well as your relationship skills when liaising, negotiating and influencing a range of internal and external stakeholders

  
In return you can expect:

• Flexible work arrangements. 3 days in the office, 2 days working from home.
• Brisbane CBD Location
• Competitive day rate
• Initial 6 Month Contract 

Make a positive change for your future, join AAMG – Apply Now!   

Apply by emailing your current Resume to Michael - mbernard@aamgrp.com.au

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