We're seeking a Senior Data Engineer with robust Databricks and Azure experience to design, build, and support scalable data platforms and data products. You'll work across data engineering, cloud architecture, DevOps, governance, and production support while providing technical leadership and mentoring.
Key responsibilities
Design and develop enterprise data platforms using Azure and Databricks
Build scalable data pipelines using Spark, SQL, and Python
Deliver trusted datasets for reporting, analytics, and BI
Implement CI/CD, automation, governance, and data quality frameworks
Optimise platform performance, reliability, and cost efficiency
Provide technical leadership and mentor engineering teams
Collaborate with stakeholders to deliver scalable business solutions
About you
Extensive experience in Data Engineering or Data Platform Engineering
Strong hands-on expertise with Databricks




Experience building cloud data solutions within Microsoft Azure
Strong SQL and data modelling skills
Experience with CI/CD, DevOps, and automated deployments
Knowledge of data governance, security, monitoring, and observability
Excellent stakeholder engagement and problem-solving skills
Delta Lake, Unity Catalog
Power BI integration
Azure and/or Databricks certifications
Consulting or professional services experience
Why Join Us?
Work on enterprise-scale data and analytics projects
Lead technical decisions and influence engineering standards
Collaborate with experienced cloud and data professionals
Access ongoing learning and certification opportunities
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📌 Senior Data Engineer (Melbourne)
🏢 Nec
📍 Melbourne