At a Glance
- Tasks: Build predictive analytics for critical equipment using Python and collaborate with engineers.
- Company: BHP Group, a leading global resources company in Australia.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on data quality and operational excellence.
- Why this job: Make a real impact on asset health and maintenance workflows with innovative technology.
- Qualifications: Experience in Python and analytics, with strong collaboration skills.
The predicted salary is between 81000 - 99000 $ per year.
BHP Group in Australia seeks a Specialist Asset Health Development to build predictive time-series analytics for critical equipment using Python, AVEVA PI, and Snowflake.
You will design scalable patterns and embed analytics into maintenance workflows.
You will collaborate with reliability engineers, scale across sites, and ensure data quality, governance, and operational adoption through clear thresholds and documentation.
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Asset Health Analytics Engineer – Predictive Maintenance (Python) employer: BHP Group
BHP Group is an exceptional employer, offering a dynamic work culture that prioritises safety and collaboration within its Copper SA Operations in Adelaide. Employees benefit from a structured 5:2 roster, providing a healthy work-life balance, alongside opportunities for professional growth through engagement with diverse technical and operational teams. With a commitment to innovative planning practices and a focus on employee well-being, BHP Group stands out as a rewarding place to build a meaningful career.
