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
Build and maintain scalable data pipelines on Databricks to power analytics, reporting, and marketing for Velocity Frequent Flyer’s loyalty program.
Data Engineer - Oracle
Design and implement PL/SQL ETL routines to migrate data into Oracle Cloud ERP, ensuring accuracy and security while collaborating with stakeholders.
Azure Data Engineer
Design and maintain Azure-based data pipelines and lakehouse solutions using Synapse, Data Factory, and Informatica to power analytics and reporting for a government client.
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.
GCP Data Engineer: Real-Time Pipelines & Data Warehousing
Designs and builds scalable GCP data pipelines with Dataflow, Pub/Sub, and BigQuery, implementing batch and streaming ETL in Python and SQL.
Data Engineer
Build and maintain data pipelines using Snowflake and Git for a high-impact sports club, troubleshooting issues and contributing to software development tasks.
GCP Data Engineer
Design and build scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Composer to power analytics and insights across the organization.
Data Engineer — dbt & Snowflake Specialist
Build and optimize Snowflake data pipelines and dbt models for enterprise clients, modernizing legacy data platforms.
Lead Data Engineer – Databricks (Hybrid/AI-First)
Lead a team to design and deploy enterprise data pipelines and ML-ready architectures on AWS/Azure/GCP, using Databricks to enable AI-driven analytics and services.
Hybrid Data Engineer: AI Pipelines, Azure & Power BI
Builds and maintains AI-powered data pipelines on Azure using Python and Terraform to feed BI dashboards and intelligent services.
Data Engineer
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow, and streaming tech to process high-volume data for analytics and warehousing.
Data Engineer
Build and maintain data pipelines using Snowflake and Git, troubleshoot integrations, and support analytics platforms for a top AFL club.
Data Engineer
Builds and maintains scalable data pipelines using PySpark and Azure Data Factory to process and transform large datasets for analytics and reporting.
Data Engineer with GCP
Senior Data Engineer builds and optimizes large-scale data pipelines on GCP, focusing on BigQuery, Dataflow, and real-time processing to support analytics and reporting.
Hybrid Data Engineering Lead — Azure Databricks & Kimball
PFD Food Services in Mulgrave (Melbourne area) is seeking a Data Engineering Lead to shape and lead our Data Engineering capability, building trusted data foundations that support reporting, analytics and AI…
Data Engineer
Builds and maintains Liberty’s AI-first data platform using Python, Azure, Terraform, and Microsoft Fabric to power BI dashboards and intelligent services.
Data Engineer
Build and maintain scalable data pipelines and ETL workflows for a travel platform, enabling reliable analytics and AI-driven insights.
Data Engineer: Scalable Pipelines & AI-Ready Data (Hybrid)
Build and maintain scalable data pipelines and infrastructure for a travel company, enabling data scientists and analysts with clean, reliable data models.
Data Engineer
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.