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.
Asset Health Analytics Engineer — Predictive Maintenance (Python) in Sydney 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.
