Reliability Engineer - Data & Analytics
Location
Perth, Western Australia
Category
Technical & Engineering
Salary
$300,000.00 - $340,000.00 Yearly
Posted
06-Mar-2026
Work type
Casual/Temp
Contact
David Hinton
Reference
184542
Chandler Macleod are looking to appoint an experienced Reliability Engineer
(Data Analytics Focus) to work with our client, a Tier 1 iron ore miner located in the Pilbara region of WA.
Reliability Engineer – Data & Analytics Focus
Roster:
5/2 & 4/3 FIFO Perth
Employment Type:
Contract Fixed Term
About the Role
We are seeking a Reliability Engineer with strong data science capability
to support asset performance improvement through advanced analytics, modelling, and data‑driven decision‑making. This role will work closely with maintenance, operations, and asset management teams to translate complex data into actionable reliability insights.
The successful candidate will bring a strong technical foundation in reliability engineering, complemented by hands‑on experience in data modelling, analytics, and visualisation, enabling improved asset availability, utilisation, and operating efficiency.
Key Responsibilities
- Apply data science and reliability engineering principles to analyse asset performance, identify trends, and uncover improvement opportunities
- Develop and maintain analytical models to support reliability, maintenance, and asset management decisions
- Query, cleanse, and manage large datasets from operational systems using SQL
- Build clear, insightful dashboards and reports using Power BI to communicate performance and reliability insights to stakeholders
- Leverage Python for data analysis, modelling, and automation
- Support reliability initiatives including defect elimination, performance monitoring, and continuous improvement programs
- Work collaboratively with operations, maintenance, and engineering teams to ensure analytics are aligned to business priorities
- Contribute to the development of modern, scalable analytics solutions using cloud platforms (AWS or Foundry)
- Strong experience in data science and analytics within an engineering, asset management, or industrial environment.
- Proficiency in Python for data analysis, modelling, and scripting
- Solid experience in SQL for database querying and data extraction
- Demonstrated capability in data visualisation, particularly using Power BI
- Experience working with cloud‑based data and analytics platforms, including AWS and/or Foundry
- Ability to translate complex technical data into clear insights for non‑technical stakeholders
- Background in engineering, computer science or asset management.
- Experience applying analytics to equipment performance, availability, utilisation, or failure analysis
- Familiarity with reliability methodologies such as RCA, FMEA, RCM, or defect elimination
- Experience working with large operational datasets from enterprise systems (e.g. SAP or similar)
- A technically strong, data‑driven engineer who enjoys solving complex problems
- Strong communication skills with the ability to influence across technical and operational teams
- A proactive mindset with a focus on continuous improvement and value creation
- Ability to work independently while collaborating effectively in a multidisciplinary environment
At Chandler Macleod, we are committed to fostering a diverse workforce where everyone is welcome. We encourage applications from Aboriginal and Torres Strait Islander peoples, women, neurodiverse, people living with a disability and the LGBTIQA+ community.
You can read more about our commitment to diversity and inclusion at https://www.chandlermacleod.com/diversity-and-inclusion.







