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 production-grade data pipelines, models, and integrations for analytics, AI tools, and embedded products at a modern estate-planning fintech.
Data Engineer
Build and maintain scalable data pipelines and analytics platforms using Microsoft Fabric, Snowflake, and Power BI to support reporting and automation for a logistics company.
Snowflake Data Engineer — Health Data Pipelines & Platform
Builds and maintains Snowflake-based data pipelines and analytics models for healthcare systems, using SQL, Python, dbt, and Snowpark.
Data Engineer
Build and maintain Azure-based ELT pipelines and data architecture for a fintech lending platform, working closely with analysts and data scientists to support credit decisioning and analytics.
Data Engineering Lead: Azure Data Platform & AI Enablement
Lead the design and operation of an Azure-based data platform, building pipelines and models to feed BI, analytics, and AI systems while mentoring engineers.
Senior Data Engineer
Build and maintain property data pipelines, APIs, and models using Airflow, BigQuery, Kafka, and TypeScript/Python to power REA’s Prime platform and external data solutions.
AI-Driven Data Engineer (Databricks + AWS)
Builds scalable, AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and ensuring cross-platform data governance for enterprise clients.
Senior Data Engineer
Senior Data Engineer builds and maintains Azure-based data pipelines and platforms, optimizing ETL/ELT workflows and ensuring data quality for business insights.
Consultant - Data Engineer
Data engineer consulting on Snowflake pipelines and dbt models to modernize enterprise data platforms in Melbourne.
Lead Data Engineer
Lead a team of data engineers to design, build, and optimize data pipelines and warehouses using Python, SQL, and cloud platforms like AWS/Azure.
Senior Analytics Specialist – AI & Data Engineering
Senior Analyst in Advanced Analytics for Woolworths Group’s Pricing & Customer Value team, translating business needs into data-driven solutions using BigQuery and Python.
Data Engineer for AI & Analytics Pipelines (Hybrid)
Designs and builds scalable data pipelines for AI and analytics using Databricks, Snowflake, and PySpark to deliver clean, structured data for reporting and modeling.
AI Consultant and Data Engineer
Build and deploy enterprise AI, Generative AI, and ML solutions for clients in Australia and New Zealand using Python, Java, and cloud platforms like AWS/Azure.
Data Engineer - (AI & Databricks)
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.
Analyst - Data Engineering
Build and maintain data pipelines and processes to process, transform, and integrate enterprise data using modern data engineering tools.
Data Engineer - (AI & Databricks)
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Data Engineer
Build and maintain Scope’s Microsoft Fabric data platform, integrating sources, developing lakehouse/warehouse assets, and creating metadata-driven pipelines for reporting and future AI use cases.
Data Engineer
Design and build scalable data pipelines and models to power Nine’s media and ad-tech platforms, using Python, SQL, and cloud services like GCP/AWS.
Data Engineer
Build and maintain data pipelines and cloud integrations for a national homebuilder, using Boomi, SSIS, Snowflake and Microsoft Fabric to deliver reliable analytics.
Data Engineer: AI-Driven Data Pipelines for Property
Build and maintain AI-driven data pipelines and integrations for property analytics using SQL Server, ensuring secure, scalable data platforms and governance.