About the Role
Stellar Recruitment is partnering with this leading mining equipment rental, maintenance, and rebuild services organisation.
Reporting to the GM Operational Technology & Business Improvement, this is a senior hands-on role responsible for building and operating the data platform connecting fleet telemetry, condition monitoring, maintenance and enterprise systems.
You will work across the OT/IT environment, using Azure and Databricks to develop reliable data pipelines and models that support fleet optimisation, predictive maintenance, analytics and machine learning.
Key Responsibilities
Design, build and operate batch and streaming data pipelines across telemetry, condition monitoring, CMMS and ERP systems
Develop the correlation layer connecting alarms, work orders, assets and signal data
Build dimensional and time-series data models across complex industrial data sources
Coordinate workloads through Databricks Workflows and Jobs
Establish DataOps practices including CI/CD, automated testing, monitoring and environment promotion
Manage data governance, lineage and access through Unity Catalog
Build reliable data foundations supporting anomaly detection and predictive maintenance initiatives
Optimise Azure and Databricks environments for performance, reliability and cost




Work closely with IT and operational teams around OT/IT security and data integration
About You
Heavy industry or Operational Technology experience is essential for this position.
You will be an experienced Data Engineer who remains highly hands-on and can demonstrate production data pipelines you have personally designed, coded and operated.
Requirements
Data engineering experience within mining, oil and gas, heavy industry or an OT setting
Strong Python and SQL skills
Production experience across batch and streaming data pipelines
Strong Azure data platform experience
Hands-on Databricks experience including Spark, Delta, Workflows, Jobs and Unity Catalog
Strong DataOps experience including CI/CD, git, automated testing and pipeline monitoring
Experience with time-series, telemetry, historian or SCADA data
Understanding of OT/IT environments, segmentation and security requirements
Highly Regarded
Predictive or prescriptive maintenance experience
Mining or heavy mobile equipment telemetry and equipment data.
Feature and label pipelines supporting machine-learning workloads
Edge gateways and industrial connectivity
Terraform or Bicep
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📌 Senior Data Engineer (Queensland)
🏢 Stellar Recruitment
📍 Queensland