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
Design and build data pipelines for an education-sector client using Azure, Databricks, and Kafka to migrate and integrate enterprise data systems.
Senior Data Engineer - Cloud Data Platform & ML Pipelines
Build and maintain cloud data pipelines and ML infrastructure on Databricks/AWS, collaborating with data scientists and BI teams to enable analytics and machine learning at scale.
Senior Data Engineer - Azure Lakehouse & AI (Hybrid)
Designs and builds scalable Azure-based data pipelines and lakehouse solutions to enable AI and analytics for enterprise clients.
Cloud Data Engineer: Scalable Pipelines & ML-Ready Data
Designs and builds scalable cloud data pipelines and warehouses to feed analytics and AI systems, ensuring data quality and security across the lifecycle.
Senior / Lead Data Eng — MSFT Data Platform (SAP & or JD Edwards Integration)
Lead the design and build of Microsoft data pipelines and warehouse models, integrating ERP systems like SAP and JD Edwards to power analytics and Power BI reporting.
Azure Data Engineer: Lakehouse & AI Analytics (Hybrid)
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Microsoft Fabric to enable AI-driven analytics and reporting for enterprise clients.
Lead Data Engineer — Cloud & Snowflake Platform Architect
Lead a team building cloud-based data platforms using Snowflake and modern data engineering practices to deliver scalable solutions for clients.
Senior Data Engineer - MS Fabric, SQL & Power BI Lead
Leads data-pipeline design and delivery on Microsoft Fabric and SQL Server, integrating ERP systems and building Power BI-ready datasets for client reporting.
AI Data Engineer: Build AI-Ready Pipelines & RAG Systems
Designs scalable data pipelines and AI-ready systems using Databricks, Spark, and Python to enable retrieval-augmented generation (RAG) and AI capabilities.
Lead Data Engineering Consultant
Lead a team to design and build scalable data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding clients from discovery to delivery.
Senior Data Engineer - Databricks on Azure | Hybrid Role
Designs and optimizes Databricks Lakehouse and Azure-based data pipelines using Delta Lake, Spark, and Fabric, with Python/SQL and CI/CD practices.
Data Engineer (Marketing)
Build and maintain marketing/advertising tech stacks (Google DV360, GA4, GTM, CDPs) to run, track, and optimise campaigns across paid channels and customer journeys.
Senior Data Engineer (Marketing)
Build and maintain integrations across marketing and customer platforms, ensuring accurate data flow, measurement, and activation for fintech comparison services.
Senior Data Engineer
Senior Data Engineer designs and builds data integration pipelines for Defence projects, transforming complex data into actionable insights using tools like Apache NiFi and Node-RED.
Senior Data Engineer — Build Scalable Pipelines & Insights
Senior Data Engineer builds and maintains scalable data pipelines to transform raw data into business insights for Toyota Finance Australia.
Data Engineer - Snowflake or Databricks
Senior data engineer builds and owns full-stack data platforms in AWS with Snowflake or Databricks, designing lakes, pipelines, and architecture for large enterprise and government clients.
Data Engineer
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Senior Data Engineer
Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.