Asset Health Analytics Engineer — Predictive Maintenance (Python)

BHP Group; Australia; On-site; AUD 150,000 - 190,000; Full time

Job summary

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.

Qualifications

• Strong Python for time-series processing and anomaly detection.
• Strong SQL skills and Snowflake experience.
• Familiar with AVEVA PI / PI AF and industrial telemetry challenges.
• Ability to validate analytics with operational stakeholders and tune thresholds.
• Experience with agile development and lifecycle discipline for analytics.

Responsibilities

• Develop and maintain time-series Asset Health analytics.
• Scale analytics patterns across equipment types and sites.
• Work with PI time-series data and Snowflake data products.
• Embed analytics into enterprise applications and lifecycle practices.
• Collaborate with reliability engineers and stakeholders.

Skills

Python time-series analytics

SQL

Snowflake

AVEVA PI / PI AF

Stakeholder engagement

Education

Engineering or related field

Trade background

Tools

AVEVA PI / PI AF

Snowflake

Job description

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.