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
ATLASSIAN: DATA ENGINEER
The Data Engineer will build and maintain scalable data pipelines, models, and backend systems to support business insights and product analytics. The role involves collaborating with data scientists and analysts using technologies like Python, SQL, Spark, and AWS.
Senior Data Engineer
Senior Data Engineer designing and building GYG's end-to-end data platform on Microsoft Fabric — from ingestion pipelines and medallion architecture to governed Power BI semantic models — supporting sales, ops, and people reporting across the restaurant chain.
Data Governance & Technical Lead (Project Lead)
Lead the governance, compliance and accreditation workstream for Curtin University's secure data research ecosystem, shaping frameworks around data classification, access control and monitoring in partnership with HPC and research stakeholders.
Data Engineer
Builds and maintains data pipelines, models, and processes to ensure data integrity and accessibility for university-wide analytics and decision-making, primarily using SQL, R, and BI tools.
Senior Data Engineer
Design and build scalable ETL/ELT pipelines in Azure Data Factory, optimize T-SQL queries, and collaborate with teams to deliver analytics-ready datasets for government projects.
Data Engineer
Builds and maintains VLA’s data infrastructure to ensure reliability, integrity, and accessibility for decision-making, troubleshooting data issues, and collaborating with teams on data solutions.
Senior DevOps Engineer - Cloud Data Platform Leader
Aged Care Quality and Safety Commission in Sydney CBD is seeking a Senior Dev Ops Engineer to establish the Commission's DevOps capability, lead the cloud-based data platform, and guide development and operations…
Data Engineer
The Data Engineer will design, develop, and maintain data pipelines and models to support institutional decision-making at Adelaide University. The role focuses on ensuring data integrity and quality using tools like SQL, Alteryx, and Power Query.
Senior Data Engineer (AWS / Spark)
Novon is seeking a Senior Data Engineer to design, build, and modernize data pipelines for financial services clients using AWS-native technologies like Spark, Glue, and Airflow. The role involves migrating legacy systems to cloud-based architectures while working in a consulting capacity.
Data Platform & AI Engineering Manager
Leads a team building and managing a data platform and AI initiatives in Australia, focusing on data pipelines, databases, and scalable data products to support business and AI strategies.
Azure Data Platform Lead | Senior Data Engineer (Sydney, Hybrid)
Lead Data Engineer designing, building, and operating enterprise-scale data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Fabric) to drive analytics and data strategy for Rabobank Australia in a hybrid Sydney role.
Senior Data Engineer: Azure/Databricks Platform Lead
Senior Data Engineer leading Azure/Databricks data platform for UNSW's Enterprise Data Office, designing and building data pipelines for the Admissions Transformation Project with focus on ingestion, transformation, and governance.
Low-Latency AWS Data Engineer & Streaming Architect
Designs and builds scalable AWS data pipelines using Kinesis, Kafka, and Glue for real-time and batch processing, with exposure to ML and GenAI tooling.
Geospatial Data Engineer & Analyst - Pipelines, Maps & Analytics
Design, develop and maintain geospatial data pipelines, spatial databases and data integration solutions while ensuring data quality and enabling geospatial analytics for stakeholders.
Senior GCP Data Engineer
Design and deliver enterprise-scale GCP data platforms using BigQuery, dbt and Airflow, focusing on scalable ELT pipelines and modern data architecture.
Databricks Data Engineer | Mid Level
Mid-level Data Engineer on a 6–12 month contract building data pipelines, models, and dashboards using Databricks, PySpark, Azure Data Factory, and Power BI for an award-winning Australian organisation.
Senior Data Engineer - Atp
Designs, builds, and maintains data pipelines and platforms for UNSW’s enterprise data warehouse, focusing on admissions data and analytics. Core tech: Databricks, Azure, SQL, PySpark, and DevOps tools.
Senior AWS Data Engineer
Senior AWS Data Engineer building reusable ingestion frameworks, low-latency streaming pipelines, and scalable AWS data solutions using SageMaker Unified Studio, Kinesis, Kafka, Glue, Spark, and various databases.