Back-End Data & Analytics Engineer (Azure)

the original

Sydney

On-site

AUD 117,000 - 129,000

Full time

10 days ago

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Job summary

Building Commission NSW is seeking a Back-End Application Developer to lead regulatory analytics initiatives and build data-driven applications that support government processes. You will work with the Intelligence Unit to automate workflows, integrate Azure data services, and deliver scalable software across the organisation.

The role emphasizes full-stack capabilities, collaboration with data scientists, and delivering high-quality interfaces for analysts.

Qualifications

  • Experience in full-stack development across UI and back-end layers.
  • Strong knowledge of Python and SQL for data-driven applications.
  • Familiarity with Azure cloud services and AI/analytics tools.
  • Ability to collaborate with data scientists and stakeholders.
  • Proven ability to translate data models into scalable software solutions.

Responsibilities

  • Design, develop, test, and deploy data-driven applications for regulatory intelligence and analytics.
  • Ensure software meets functional specs and performance benchmarks.
  • Collaborate with data scientists, analysts, and stakeholders to translate data models into scalable solutions.
  • Provide tools and interfaces for analysts to extract insights efficiently.
  • Document architecture, code, and user guides for future reference.

Skills

Full-stack development
Python
SQL
Cloud data products
Communication
Stakeholder collaboration
Regulatory analytics

Tools

Azure Data Factory
DevOps
Function App
Azure AI Foundry
Amazon Bedrock
Google Vertex AI

Job description

Building Commission NSW is seeking a Back-End Application Developer to lead regulatory analytics initiatives and build data-driven applications that support government processes. You will work with the Intelligence Unit to automate workflows, integrate Azure data services, and deliver scalable software across the organisation.

The role emphasizes full-stack capabilities, collaboration with data scientists, and delivering high-quality interfaces for analysts.

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