Senior Data Engineer - Azure/Databricks Platform Leader

NEC; Melbourne; Vor Ort; AUD 140.000 - 190.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Data modelling

Stakeholder engagement

Python

CI/CD

DevOps

Governance

Observability

Ausbildung

Azure Databricks certifications

Tools

Databricks

Azure

Power BI

Delta Lake

Unity Catalog

Jobbeschreibung

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.