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
Senior Data Engineer /
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for enterprises, using Python/Java/Scala, Spark, Airflow, and cloud platforms like AWS/Azure.
Senior Data Engineer: Azure Data Pipelines & Analytics
Senior Data Engineer builds and maintains Azure Data Factory pipelines and data models to deliver analytics insights for Melbourne's tram network.
Data Engineer: Build Scalable Cloud Data Pipelines
Build and maintain cloud data pipelines and integrations to feed analytics and business decisions at a home-building company.
Data Engineer
Build and optimize scalable data pipelines using Python (PySpark), SQL, Azure, and Databricks to support analytics and AI at Victoria’s transport safety agency.
Data Engineer
Designs and builds data pipelines, warehouses, and dashboards to integrate and report on anti-corruption data for a government agency.
Senior Data Engineer — AI, Databricks & AWS (Contract)
Design and optimize AI-enabled data pipelines on AWS and Databricks, building scalable lakehouse architectures and MCP server integrations for next-gen AI platforms.
Senior Data Engineer
Senior Data Engineer builds and maintains Azure-based data pipelines and analytics tools for Melbourne’s tram network, ensuring scalable data ingestion and reporting for insights.
data engineer / sql specialist
Builds and maintains enterprise data pipelines and complex SQL views in Azure to support data-driven decisions for a public-sector client.
Principal Data Engineer: Databricks & AI Platform Leader
Lead cloud-native data pipelines and Databricks platforms to build scalable lakehouse architectures, enabling AI/ML and enterprise-wide analytics for Medibank’s healthcare products.
Senior AI & Data Engineer: Agentic LLM & Data Pipelines
Build and operate LLM-driven data applications and agentic workflows for product intelligence at an AI-first company.
Data Engineer — Cloud Pipelines & AI-Driven Analytics
Builds and maintains cloud pipelines to ingest Adobe user event data into Google Cloud for reliable reporting and analytics in a large Australian retailer.
Senior Data Engineer (GCP) – Data Pipeline Architect
Designs, builds, and optimizes scalable data pipelines on GCP to enable reliable, data-driven decisions across the organization.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud data pipelines (Databricks/AWS) to power analytics and ML for fintech brands serving Australians.
Senior Data Engineer
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Senior Data Engineer, GEOINT & AI-Driven Analytics
Designs secure data pipelines and transforms GEOINT datasets to support AI-driven analytics for Army intelligence operations.
Chief Data Engineer
Lead a team of data engineers to build and maintain AI-ready data platforms using Python, SQL, Snowflake, dbt, Airflow, and Databricks, while coaching engineers on data science principles.
Data Engineering & Innovation Lead
Lead the design and implementation of a modern cloud-native data and AI platform for a large healthcare provider, integrating real-time IoT, generative AI, and self-service analytics to transform patient care and operational efficiency.