Senior Data Engineer

About the Company

Lead the build of a critical OT data platform connecting fleet telemetry, maintenance systems and analytics within a major Australian mining services business.

• Senior hands-on engineering role with genuine platform ownership
• Azure, Databricks, telemetry and industrial data environment
• Support predictive maintenance and fleet performance at scale

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.

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 Include:

• Data engineering experience within mining, oil and gas, heavy industry or an OT environment
• 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

Apply Now

Apply Now If you are a hands-on Senior Data Engineer with strong Azure and Databricks capability and proven experience within heavy industry or Operational Technology, apply today using the link.