Python-Driven Asset Health Analytics Engineer in Adelaide

Python-Driven Asset Health Analytics Engineer in Adelaide

Adelaide Full-Time 75600 - 92400 $ / year (est.) On-site
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At a Glance

  • Tasks: Build Python-driven analytics for asset health diagnosis and prognosis.
  • Company: Join BHP, a leader in the mining and resources sector.
  • Benefits: Competitive salary, flexible work options, and career development opportunities.
  • Other info: Dynamic role with opportunities for continuous improvement and growth.
  • Why this job: Make a real impact by improving asset health with innovative analytics.
  • Qualifications: Experience in Python and analytics; teamwork skills are a plus.

The predicted salary is between 75600 - 92400 $ per year.

BHP is seeking a Specialist Asset Health Development expert in Adelaide to build Python-first time-series analytics for asset health diagnosis and prognosis.

You will leverage AVEVA PI/PI AF data and Snowflake to deploy scalable analytics patterns across sites and asset classes.

You will work with reliability engineers and operations teams to ensure actionable insights, rigorous documentation, and continuous improvement of analytics quality and alerting.

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Python-Driven Asset Health Analytics Engineer 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.

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Contact Details:

Bhp Recruitment Team

We think you need these skills to ace Python-Driven Asset Health Analytics Engineer in Adelaide

Python
Time-Series Analytics
AVEVA PI/PI AF
Snowflake
Data Analysis
Collaboration with Reliability Engineers
Operations Team Engagement