Data Analytics Engineer

Change Recruitment; Sydney; Hybrid; AUD 145,000 - 165,000; Full time

Benefits offered by this job

Hybrid Working Model

16 Weeks Paid Parental Leave

Continuous Learning and Development

Job summary

A prominent recruitment agency is seeking a Data Engineering and Analytics Specialist for a non-profit organization in Sydney. This role offers a competitive salary between A$145,000 and A$165,000 with a hybrid work model. Ideal candidates will have experience in fixing data pipeline failures, creating Azure data pipelines, and managing Power BI dashboards. Join a team that is making a genuine impact in the community.

Qualifications

• Experience in fixing data pipeline failures and troubleshooting data flow issues.
• Proficiency in data ingestion and pipeline creation on Azure.
• Skilled in SQL Data Warehouse maintenance and optimisation.

Responsibilities

• Troubleshooting data flow issues.
• Creating and managing Power BI dashboards.
• Designing ETL/ELT pipelines across various sources.

Skills

Fixing data pipeline failures

Data ingestion and pipeline creation on Azure

SQL Data Warehouse maintenance

Creating and managing Power BI dashboards

Skilled in Python

Experience with ETL/ELT pipeline design

Understanding of data modelling

Job description

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 [e-mail].

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