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Data Analytics Engineer

Summary

Build and maintain Azure-based data pipelines, optimize SQL warehouses, and create Power BI dashboards using Python and ETL tools.

Overview

Data Engineering and Analytics Specialist – Recruitment Consultant role for a non-for-profit industry body in Sydney (Hybrid).

About the Company: Join a highly respected non-for-profit organisation with over 100 years of history supporting communities and industries across Australia. The organisation is in an exciting growth phase and is investing heavily in its data and technology capabilities, offering the perfect platform to advance your career in analytics and engineering.

Base pay range

A$145,000.00/yr - A$165,000.00/yr

What’s on Offer

  • Salary range: $145K – $165K + benefits
  • Hybrid Working Model – Sydney CBD + Work from Home
  • Additional leave entitlements beyond standard annual leave
  • 16 Weeks Paid Parental Leave (primary carers) + Super on unpaid leave
  • Early access to Long Service Leave after 5 years
  • Continuous Learning, Development & Career Pathways

Key Skills & Experience

  • Fixing data pipeline failures and troubleshooting data flow issues
  • Data ingestion and pipeline creation on Azure (ADF, Azure SQL, Functions, Logic Apps, Cosmos DB)
  • SQL Data Warehouse maintenance and optimisation
  • Creating and managing Power BI dashboards, reports, and visualisations
  • Skilled in Python and GIT for automation and version control
  • Experience with ETL/ELT pipeline design across APIs, databases, and unstructured/cloud sources
  • Understanding of data modelling, governance, and CI/CD automation

Ready to Take the Next Step?

If you’re interested in joining a forward-thinking non-for-profit making a genuine impact, please click Apply Now or send your CV to [email protected].

Alternatively, call Dan directly on 0483 948 912.

Details

  • Seniority level – Mid-Senior level
  • Employment type – Full-time
  • Job function – Information Technology and Analyst
  • Industries – Technology, Information and Media, Data Infrastructure and Analytics, and Non-profit Organizations

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