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