At a Glance
- Tasks: Lead time-series analytics for predictive maintenance using Python and deliver scalable analytics patterns.
- Company: Join BHP, a global leader in resources with a focus on innovation.
- Benefits: Enjoy competitive salary, career growth, and the chance to work with cutting-edge technology.
- Other info: Dynamic work environment with opportunities to collaborate across teams.
- Why this job: Make a real impact on equipment reliability and operational efficiency through data-driven insights.
- Qualifications: Experience in Python development and a passion for analytics and teamwork.
The predicted salary is between 61650 - 75350 $ per year.
BHP is seeking a Specialist Asset Health Developer to lead time-series analytics for predictive maintenance across site equipment.
The role focuses on Python-first development using AVEVA PI and Snowflake data, delivering scalable analytics patterns and reliable dashboards.
You will build and maintain analytics, collaborate with reliability engineers and site teams, and ensure operational fit of predictive insights through practical lifecycle practices.
Asset Health Analytics Engineer - Python & Time-Series in Adelaide employer: Bhp
BHP is an exceptional employer that prioritises the growth and development of its employees, offering a diverse and inclusive work environment at Olympic Dam. With a strong focus on safety and community, employees benefit from competitive salary packages, performance-based bonuses, and a range of family-friendly policies, all while being part of a leading global mining operation. The local township of Roxby Downs provides modern amenities and a supportive community, making it an ideal place for both personal and professional growth.
