Data Engineering Jobs in Australia
There are 1,697 open Data Engineering jobs in Australia on freehire right now. 605 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 262 · 15%
- Onsite 32 · 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
Content Data Engineer — AI-Ready Ecommerce Content
Designs data pipelines and reusable tools to make ecommerce content AI-ready, integrating it with product data for better search and personalization.
Data Engineer (Snowflake)
Build and maintain scalable data pipelines on Snowflake to power healthcare analytics and interoperability, using SQL, Python, and modern data engineering tools.
AWS Data Engineer
Design and implement AWS-based data pipelines and analytics solutions for clients, building dashboards and reports to drive business decisions.
Data Engineer Lead
Lead the design and delivery of scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to build a modern enterprise data platform that powers analytics and AI initiatives.
Senior Data Engineer
Design and build data pipelines and cloud-based architectures to power analytics and reporting for Australia’s largest independent media company.
Senior Data Engineer
Design and build data pipelines and maintain an Enterprise Data Warehouse for an insurance company using Snowflake, DBT, AWS, and SQL.
Azure Data Engineer
Lead the design and delivery of enterprise data platforms on Azure, building scalable ETL/ELT pipelines, data models, and analytics solutions for government stakeholders.
Senior Data Engineer - Azure
Senior Data Engineer builds and maintains enterprise-scale data pipelines in Python/PySpark, deploys ML models, and designs Azure-based data platforms for analytics and GenAI use cases.
Senior GCP Data Engineer
Design and build scalable data pipelines on Google Cloud Platform using BigQuery and Dataflow to enable analytics and reporting for enterprise clients.
Data engineer (Snowflake) - Scientific Applications
Build and maintain Snowflake-based data pipelines and analytics for scientific clients in mining, energy, agriculture, healthcare and infrastructure.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Closure Data Engineer & BI Specialist
Builds data pipelines and BI dashboards to track mine-closure progress, turning engineering plans into measurable rehabilitation outcomes.
Senior AI & Data Engineer
Build and operate LLM-driven agentic workflows and data pipelines for AutoGrab’s automotive intelligence platform, using Python, GCP, and production-grade AI systems.
Azure Data Engineer: AI-Driven Pipelines & Governance
Build and maintain scalable Azure data pipelines using Microsoft Fabric or Azure Databricks, Python ETL/ELT, and collaborate with engineers and analysts in a hybrid Brisbane setup.
Data Engineer
Build and maintain data pipelines that move user event data from Adobe into Google Cloud, ensuring reliable reporting and governance for a large Australian retailer.
Senior Data Engineer
Senior Data Engineer builds and maintains enterprise-scale data pipelines, warehouses, and lakes for a government digital transformation program, using SQL, Python, and cloud/on-prem platforms.
Data Engineer
Build and maintain scalable data pipelines and cloud-based data platforms using Microsoft technologies to support analytics and AI initiatives.