Data Engineering Jobs in Australia
There are 1,705 open Data Engineering jobs in Australia on freehire right now. 589 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$825 | A$950 | A$1,060 | 17 |
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 30%
How the work is done
- Hybrid 265 · 16%
- Onsite 34 · 2%
- Remote 18 · 1%
Visa sponsorship offered in 14% of the 93 postings that state a position on it.
Seniority
- Senior 565
- Lead 231
- Principal 39
- Staff 34
- Middle 27
- C-level 13
Who is hiring
- 1000+ employees 186
- 501-1000 employees 97
- 51-200 employees 35
- 11-50 employees 16
- 201-500 employees 5
- 1-10 employees 3
Data Engineer-GCP
Build and maintain scalable GCP data pipelines using BigQuery, Dataflow, Pub/Sub, and Python/SQL, designing ETL/ELT solutions for clients in banking, retail, and other sectors.
Senior Data Engineer — Data Lake, Automation & Cloud (AWS/Snowflake)
Senior Data Engineer builds and maintains AWS/Snowflake data pipelines for a transit data lake, automating ingestion and enabling analytics for construction and future operations.
Principal Data Engineer: Microsoft Fabric Leader (Remote)
Leads Microsoft Fabric architecture, governance, and real-time analytics for a government body, optimizing costs and mentoring engineers to enable AI/ML capabilities.
Graph Data Engineer: Neo4j, Pipelines, Impact (10-mo)
Design and build Neo4j graph solutions and data pipelines for a WA enterprise, modeling complex data into analytical capabilities over a 10-month contract.
Closure Data Engineer & Analytics Specialist
Builds data pipelines and dashboards in Power BI and SQL to track mine-closure progress, integrating survey and production data for safe, measurable outcomes.
Principal Data Engineer (Microsoft Fabric)
Principal Data Engineer leading Microsoft Fabric architecture, governance, and pipelines for real-time analytics and AI integrations in a regional government data ecosystem.
Senior Data Engineer
Designs and builds data pipelines and warehouses for enterprise clients using SQL, Python, Spark, and cloud platforms like Azure and Databricks.
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 and Data, Technology Consulting
Design and build scalable data pipelines and cloud-based data solutions using Databricks, Snowflake, and PySpark to power AI, analytics, and reporting for enterprise clients.
Data Engineer
Build and scale a cloud-based data lake on AWS and Snowflake, designing ingestion pipelines and supporting analytics teams with curated datasets for a major transit project.
Data Engineer
Build and maintain scalable data pipelines and AI/ML platforms to create trusted, reusable data products that support analytics and business decision-making.
Remote Health Data Governance Lead for AI Training
Leads governance for AI training using hospital data, ensuring accuracy, privacy, and compliance while evaluating outputs and providing structured feedback.
Azure Data Platform Engineer – AI & Automation
Xceltium is seeking an experienced Data Platform Administrator to own and advance our Microsoft data landscape. In this hands‑on role, you’ll administer databases, optimize performance, manage security, and support…
Finance BI & Data Engineer: Real-Time Analytics & AI
Designs data models for real-time finance reporting and builds AI-driven forecasting tools using platforms like Snowflake.
Data Platform Engineer for AI Adoption
Builds cloud-native data pipelines on Azure and integrates responsible AI practices to deliver scalable data solutions for a major Australian bank.
Data Engineer — GCP/BigQuery, Enterprise Platform (Hybrid)
Builds and maintains scalable data pipelines on Google Cloud and BigQuery, extends a dbt project, and improves data governance for enterprise analytics.