Data Engineering Jobs in Australia
There are 1,697 open Data Engineering jobs in Australia on freehire right now. 603 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 261 · 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
Data Engineer & Power BI Report Developer - Data Warehouse
Data Engineer/Report Developer on a 12-month contract enhancing a Data Warehouse and building Power BI reports for a Queensland Government Department, using SQL Server (SSAS/SSIS/SSRS), Power BI, MS Fabric, and ETL.
Senior Data Engineer — Databricks/Snowflake Platform Lead
Senior Data Engineer leading the design and build of modern data platforms using Databricks or Snowflake with dbt, implementing scalable data pipelines and mentoring engineers in Melbourne.
Data Engineer – AI/ML | Google Cloud
Hands-on Data Engineer building scalable data pipelines and ML models on Google Cloud (BigQuery, Vertex AI) to solve demand forecasting, inventory optimisation and marketing attribution problems for an Australian outdoor retail company — fully on-site in Sydney.
Senior Data Engineer: Cloud Platforms & ETL Expert
Design and implement cloud-based data solutions—ingestion, processing, storage, and analytics—driving digital transformation for clients at a digital consultancy.
Data Engineering Lead
Data Engineering Lead responsible for end-to-end ownership of Digital Engineering and Data Platforms, providing leadership across data integration, warehousing, analytics, automation, and reporting using technologies like Microsoft Fabric, Azure Synapse, and Informatica.
Senior Spark & Data Platform Engineer (Customer-Facing)
A senior engineer who resolves complex Spark/ML/AI issues for Databricks’ largest customers, trains teams, and collaborates cross-functionally to deliver technical solutions aligned with business goals.
Data Engineering Lead
Data Engineering Lead overseeing Microsoft Fabric, Azure Synapse, and enterprise data platforms—driving data modernization, ETL governance, BI strategy, service delivery, and team leadership on-site in Queensland.
DATA ENGINEERING LEAD
Leads end-to-end data platform strategy, governance, and delivery for an IT solutions provider, overseeing Azure Synapse, Microsoft Fabric, Informatica, and BI tools to modernize data infrastructure and drive business insights.
Lead Data Platform Engineer – Lakehouse, AI & Cloud (Hybrid)
Lead the design and build of a modern, enterprise-scale data platform for a Federal Government program, using Databricks, Microsoft Fabric, and cloud tech to support analytics, AI, and decision-making.
Senior Data Engineer
Senior Data Engineer leading the migration from legacy SQL Server and traditional data warehouses to a modern Microsoft Fabric platform, combining hands-on PySpark/SQL development with stakeholder consulting and technical leadership.
Azure Data Engineer
Azure Data Engineer designing and building cloud-based data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and Python for a consulting business.
Senior Data Engineer
Senior Data Engineer designing and developing enterprise-scale Azure data platforms—ETL/ELT pipelines, dimensional models, API integrations—for a government partner using Azure Data Factory, T-SQL, and Azure DevOps in Agile/SAFe teams.
Lead Data Engineer
Lead Data Engineer on a major Federal Government program designing and building enterprise-scale data pipelines and Lakehouse architectures using Databricks, Microsoft Fabric, and Azure cloud technologies.
SENIOR DATA ENGINEER-GCP
Senior Data Engineer designing and building scalable GCP data pipelines, data lakes, and warehouses using BigQuery, Dataflow, Pub/Sub, Python, and SQL to enable data-driven decision-making.
Data Engineer: Flexible Hours, Pipelines & Analytics
Designs and maintains data pipelines to integrate logistics systems with analytics platforms, ensuring secure, scalable data flows for business intelligence and automation teams in Brisbane.
Data Engineer: Cloud Data Pipelines & BI with Flexible Perks
Builds and maintains cloud-based data pipelines for BI/analytics, ensuring data quality and governance across global operations for a wine company.
Data Engineer
Data Engineer at NSW Ministry of Health developing and maintaining complex data pipelines, data warehouses, and reporting solutions for Health Protection NSW's epidemiology and notifiable diseases data systems.
Senior Data Engineer
Designs and maintains ETL/ELT pipelines in Azure Data Factory for a federal government client, optimizing T-SQL and data models to support election systems analytics, forecasting, and BI. Works cross-functionally with stakeholders to build scalable, secure data solutions.