Data Engineering Jobs in Australia
There are 1,702 open Data Engineering jobs in Australia on freehire right now. 587 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 264 · 16%
- Onsite 33 · 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 185
- 501-1000 employees 97
- 51-200 employees 35
- 11-50 employees 16
- 201-500 employees 5
- 1-10 employees 3
Senior Data Engineer - Azure Databricks & Data Platform
Design and build scalable data pipelines and analytics solutions on Azure Databricks to power Tennis Australia’s data warehouse and reporting systems.
Principal Data Engineer — Cloud Data Platform Architect
Lead the design and architecture of a cloud-based big data platform, setting engineering standards and guiding DataOps practices for a product-focused company.
Senior Data Engineer — Semantic Layer & Governed Data
Build and maintain a unified semantic data layer for finance, HR, procurement and compliance using Databricks, dbt, SQL and PySpark.
Hybrid Data Engineer — Real-Time Analytics & AWS
Build and automate real-time data pipelines for ASX’s derivatives clearing systems, curating core data assets into consumable APIs and reports on AWS.
Data Engineer: Azure Fabric Pipelines & Power BI Models
Designs and maintains secure Azure Fabric data pipelines and Power BI semantic models to deliver trusted datasets for analytics and reporting in Brisbane.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Data Engineer: Data Integration & Dashboards (Contract, Melbourne)
Builds and maintains data pipelines and dashboards for anti-corruption reporting using SQL, ETL, and BI tools like Power BI or Tableau.
Amazon Data Engineer, Network Operations, Network Fabric Engineering (AWS)
Build and maintain AWS-based ETL pipelines, data models, and monitoring for Amazon’s global network operations, migrating legacy systems to cloud-native platforms.
Technical Lead - Data Engineering
Lead a team to design and build scalable data pipelines on Azure Databricks, migrating legacy systems to modern cloud solutions while mentoring engineers and ensuring data quality and security.
Data Engineer
Build and optimize scalable data pipelines using Python (PySpark), SQL, Azure, and Databricks to deliver reliable data products for analytics and AI at a government road-safety agency.
Azure Data Engineer: Scalable Pipelines & Databricks
Build and maintain scalable Azure data pipelines using Data Factory, Databricks, and Synapse to ensure reliable, high-quality data flows and ETL/ELT processes.
Senior Data Engineer — Core Banking Migrations & Pipelines
Design and build data migration pipelines for core banking systems, translating legacy data into a new schema using Snowflake, dbt, Python, and SQL.
Senior Data Engineer: Property Data & APIs Mentor
Designs and builds property data pipelines and APIs, mentors teammates, and improves data governance using Airflow, BigQuery, TypeScript/Node.js, and Python.
Senior Data Engineer: Azure, PySpark & GenAI Platform
Senior Data Engineer builds and maintains Azure-based data pipelines and GenAI platforms using PySpark to support analytics, ML, and AI initiatives.
Financial Analytics Data Engineer | ELT Pipelines & Airflow
Builds and maintains ELT pipelines and Airflow workflows for a multi-jurisdiction financial data platform, ensuring data quality and automating reporting delivery.
Data Engineer (Financial Analytics focus)
Build and maintain financial data pipelines and reporting systems using PostgreSQL, Airflow, and ELT/ETL processes for a global trading platform.
Senior Data Engineer — Enterprise ETL & CRM Migration
Senior Data Engineer builds and migrates ETL pipelines from legacy systems into a modern CRM using SQL Server and T-SQL, ensuring data quality and optimizing stored procedures.
Data Engineering Lead
Lead a team to design and maintain enterprise-scale data pipelines and warehouses using ETL/ELT tools, SQL, and cloud platforms to support insurance operations.
Data Engineer
Designs, builds, and maintains scalable data pipelines and cloud-based data platforms to ensure reliable data ingestion, transformation, and delivery for analytics and downstream systems.
Data Engineer: Pipeline ETL/ELT, Dati Sicuri e Cloud
Build and maintain secure, scalable ETL/ELT pipelines and cloud data infrastructure to integrate diverse sources and power analytics.