Job Description
Stellar Recruitment AU and NZ – Brisbane QLD
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Full time
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1d ago , from Stellar Recruitment AU and NZ
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About the Role
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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.
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Key Responsibilities
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Design, build and operate batch and streaming data pipelines across telemetry, condition monitoring, CMMS and ERP systems
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Develop the correlation layer connecting alarms, work orders, assets and signal data
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Build dimensional and time-series data models across complex industrial data sources
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Coordinate workloads through Databricks Workflows and Jobs
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Establish DataOps practices including CI/CD, automated testing, monitoring and environment promotion
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Manage data governance, lineage and access through Unity Catalog
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Build reliable data foundations supporting anomaly detection and predictive maintenance initiatives
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Optimise Azure and Databricks environments for performance, reliability and cost
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Work closely with IT and operational teams around OT/IT security and data integration
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About You
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Heavy industry or Operational Technology experience is essential for this position.
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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.
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Requirements
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Data engineering experience within mining, oil and gas, heavy industry or an OT environment
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Robust Python and SQL skills
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Production experience across batch and streaming data pipelines
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Strong Azure data platform experience
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Hands-on Databricks experience including Spark, Delta, Workflows, Jobs and Unity Catalog
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Strong DataOps experience including CI/CD, git, automated testing and pipeline monitoring
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Experience with time-series, telemetry, historian or SCADA data
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Understanding of OT/IT environments, segmentation and security requirements
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Highly Regarded
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Predictive or prescriptive maintenance experience
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Mining or heavy mobile equipment telemetry and equipment data.
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Feature and label pipelines supporting machine-learning workloads
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Edge gateways and industrial connectivity
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Terraform or Bicep
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#J-*****-Ljbffr

📌 Senior Data Engineer (Queensland)
🏢 Stellar Recruitment AU and NZ
📍 Queensland