Data Engineering Jobs in Australia
There are 1,697 open Data Engineering jobs in Australia on freehire right now. 606 of them were posted recently. The skills employers ask for most often are data-pipelines, cloud and analytics.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| AUD | year | A$131,693 | A$150,000 | A$170,000 | 49 |
| AUD | day | A$856 | A$1,000 | A$1,070 | 16 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- data-pipelines 46%
- cloud 45%
- analytics 44%
- sql 42%
- data-engineering 41%
- python 34%
- azure 31%
- data-quality 29%
How the work is done
- Hybrid 263 · 15%
- Onsite 31 · 2%
- Remote 19 · 1%
Visa sponsorship offered in 14% of the 93 postings that state a position on it.
Seniority
- Senior 561
- Lead 231
- Principal 39
- Staff 35
- Middle 27
- C-level 13
Who is hiring
- 1000+ employees 185
- 501-1000 employees 97
- 51-200 employees 35
- 11-50 employees 16
- 201-500 employees 5
- 1-10 employees 3
Data Engineer
Build and maintain Azure-based data pipelines, profile undocumented datasets, and deliver clean, documented data for reporting and analytics using PySpark, SQL, and Power BI.
Senior Manager Data Governance
Job Description Data Governance: Senior Manager Wanted (Fixers, Builders, and the Occasional Rule-Breaker Welcome) Somewhere in a regulated financial services organisation, there's a data governance function quietly…
Engineering Manager, Data Platform & ML Ops
Lead a team that builds and maintains the data and ML infrastructure enabling analytics and intelligent products, overseeing platforms for scalable machine learning operations.
Data Engineer
Build and optimize cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Principal Data Engineer (AWS & Snowflake)
Lead data engineering initiatives using AWS and Snowflake to build regulatory reporting systems that ensure compliance and support the bank’s global growth.
Staff Data Engineer
Senior role building scalable data pipelines, MLOps workflows, and trusted data products for a major bank’s analytics and automation needs.
Senior Azure Data Engineer - Remote/Hybrid (Fabric)
Design and build scalable Azure data pipelines using Data Factory, Synapse, and Fabric to deliver end-to-end analytics solutions for enterprise clients.
Data Engineer
Build and maintain ETL pipelines to process raw imagery and video from optical sensing platforms into clean, labeled data for machine-learning training.
GCP Data Engineer
Build and maintain Google Cloud Platform data pipelines and infrastructure, ensuring reliability, scalability, and best practices in observability and deployment.