Senior Data Engineer

NEC; Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

NEC seeks a Senior Data Engineer with robust Databricks and Azure experience to design, build and support scalable data platforms and data products.

You will work across data engineering, cloud architecture, DevOps, governance, and production support while providing technical leadership and mentoring.

Join enterprise-scale data projects and help shape engineering standards while collaborating with stakeholders to deliver scalable business solutions.

Qualifications

• 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.
• Delta Lake, Unity Catalog.
• Power BI integration.
• Azure and/or Databricks certifications.
• Consulting or professional services experience.

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.

Skills

SQL

Data modelling

Stakeholder engagement

Python

CI/CD

DevOps

Governance

Observability

Education

Azure Databricks certifications

Tools

Databricks

Azure

Power BI

Delta Lake

Unity Catalog

Job description

We're seeking a Senior Data Engineer with strong 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