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 30%
How the work is done
- Hybrid 263 · 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
Lead Data Platform Engineer (AWS) & ML Deployment
Principal/Lead Data Platform Engineer on AWS, building and modernizing cloud-native data and ML model platforms for large-scale credit risk workloads in a regulated banking environment.
Principal Data Platform Engineer (AWS)
Lead AWS-based data platform engineering for credit risk models at Commonwealth Bank, focusing on cloud-native architecture, ML workloads via SageMaker, and large-scale data pipelines.
Cloud Data Engineer
Builds and maintains AWS cloud infrastructure, MuleSoft integrations, and scalable data pipelines to support health research under the GenV program.
Senior Data Engineer — AWS & Snowflake Migrations
Build and migrate data pipelines for a banking modernization program, moving Hadoop workloads to AWS and Snowflake while ensuring secure, scalable solutions.
Senior Data Engineering Consultant: Lead Pipelines
Leads end-to-end data engineering projects using Azure tools, designs scalable pipelines, and mentors teams while advising clients on data architecture.
Data Engineering Manager / Team Leader
Leads a data engineering team to design, build, and optimize automated pipelines for processing aerial survey data into geospatial products (e.g., MetroMap, LiDAR) using cloud-native tools and best practices.
Senior Data Engineer for AI-Driven Foundry & Azure Lakehouse
The Senior Data Engineer will design scalable data pipelines and lakehouse architectures using Microsoft Fabric and Azure Data Factory to support generative AI and agent-based data products.
Azure Data Engineering Lead - Enterprise Pipelines (Hybrid)
The Lead Data Engineer will design and deliver scalable data solutions on Microsoft Azure to support analytics and AI initiatives. This hands-on role involves mentoring team members, implementing CI/CD and automation, and collaborating with stakeholders to drive data quality.
Senior Azure Data Platform Engineer - Analytics & AI
The Senior Azure Data Platform Engineer will design, build, and maintain cloud-hosted data and analytics platforms using Azure Databricks, Data Factory, and Microsoft Fabric. The role involves implementing Infrastructure as Code and secure IAM settings within an Agile team environment.
Cloud Data Engineer: Snowflake, DBT & AWS Pipelines
Design, build, and support scalable cloud data solutions and modern data pipelines using Snowflake, DBT, AWS, Python, and SQL, while implementing data models, quality controls, and governance.
Lead Data Engineer: Azure Databricks & Fabric (12m Contract)
The Lead Data Engineer will build and maintain enterprise data platforms to support analytics, AI, and ML initiatives within a Federal Government environment using Azure Databricks and Microsoft Fabric.
Geospatial Data Engineering Manager
The Data Engineering Manager will lead a team to build and maintain scalable data pipelines for high-resolution aerial imagery and 3D geospatial products. This hands-on role involves collaborating with leadership to set priorities and ensure the delivery of high-quality geospatial data solutions.
Data Engineering Lead: Scalable Platforms & AI Governance
The Data Engineering Lead will oversee the development of scalable, secure data platforms and drive data governance and responsible AI adoption at Barwon Water. This role involves leading a team and collaborating with senior stakeholders to deliver high-value data products.
Data Engineer - Databricks, Delta Lake & Cloud (Contract)
This contract role involves building enterprise data pipelines and Lakehouse architectures for a government organization focused on climate and environmental resources. The position requires expertise in Databricks, PySpark, and Azure cloud services.
Senior SQL & Data Platform Engineer (Cloud & Automation)
The Senior SQL & Data Platform Engineer will manage and optimize Microsoft SQL services within complex environments. The role focuses on technical leadership, database administration, and automation to ensure secure and scalable data platforms.
Senior Databricks & Cloud Data Engineer – Azure Stack
The Senior Databricks & Cloud Data Engineer will lead end-to-end data projects and architecture decisions using the Azure stack, Databricks, and Power BI. The role involves collaborating with cross-functional teams to deliver scalable analytics solutions.
Databricks Tech Lead for Gen AI Data Platform
The Technical Lead will design and implement data platform components for Generative AI initiatives using Databricks, Apache Spark, and Python. The role involves both hands-on development and technical leadership to guide delivery teams in building scalable, secure solutions.