Data Engineering Jobs in Australia
There are 1,697 open Data Engineering jobs in Australia on freehire right now. 605 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 262 · 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
Content Data Engineer: AI-Ready Content & Pipelines
Designs and builds scalable data pipelines and models to make product content AI-ready across ecommerce platforms and PIM/CMS systems.
Senior Data Engineer (Snowflake)
Build and optimize scalable data pipelines on Snowflake to power digital health solutions, integrating cloud, SaaS, and enterprise systems for analytics and reporting.
Senior Data Engineer — Hybrid, Azure Data Pipelines | 12m+
Builds and maintains Azure-based data pipelines for migration and analytics in a hybrid cloud environment, ensuring data quality and security compliance.
Senior Data Engineer: Scalable Pipelines & BI
Designs, builds, and maintains scalable data pipelines and platforms to support analytics and reporting across the organization.
Senior Data Engineer- Data Bricks
Senior Data Engineer builds and maintains scalable data pipelines and analytics solutions on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage to power Tennis Australia’s reporting and AI needs.
SENIOR DATA ENGINEER-GCP
Designs and builds scalable GCP data pipelines and warehouses using BigQuery, Dataflow, and Airflow to enable data-driven decisions.
Data Engineer: Scalable Pipelines & Cloud Integrations
Designs and maintains scalable data pipelines and cloud integrations for a logistics company, enabling secure data flow between operational systems and analytics platforms.
Senior Cloud Data Engineer | Snowflake + dbt
Build and maintain cloud-based data pipelines and analytics models using Snowflake and dbt to deliver scalable data solutions for a glass manufacturing business.
Senior Data Engineer - Flexible Hours & Growth
Senior Data Engineer builds scalable data pipelines and solutions at Toyota Finance Australia, transforming raw data into business insights while ensuring governance and standards.
Senior Data Engineer: Cloud Data Platform & Spark
Design and build cloud data pipelines and platforms using Azure, Databricks, and Spark; optimize workflows with Airflow and manage structured/unstructured data.
Senior Data Engineer
Build and maintain scalable data pipelines and analytics solutions on Azure Databricks for a global fashion retailer, enabling data-driven decisions and AI-powered insights.
Senior Data Engineer
Build and maintain scalable data pipelines and platforms using Python, SQL, and cloud tech to support government services and enterprise AI solutions.
Senior Data Engineer — AI Analytics on Azure Databricks
Senior Data Engineer builds and maintains Azure Databricks pipelines and AI-driven analytics for a fashion brand’s data-driven decision-making.
Data Engineer – Hybrid Data Pipelines & Cloud Analytics
Build and maintain core customer data pipelines and datasets, transforming raw data into reliable, consumable formats for REA Group’s Modernisation tribe.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and models for a digital bank, using Python, SQL, DBT, Spark, and cloud-native tools to drive real-time insights and business decisions.
Senior Data Engineer: Scalable Data Pipelines and Cloud
Designs and builds scalable data pipelines in AWS/Azure using Snowflake, Redshift, Spark, and Airflow to deliver analytics-ready data for enterprise clients.
Senior GCP Data Engineer: Data Pipelines & BigQuery Expert
Design and build scalable GCP data pipelines using BigQuery and Dataflow to enable analytics and insights for a Sydney-based team.
Snowflake Data Engineer – HealthTech Data Pipelines & Security
Build and maintain Snowflake data pipelines and analytics for healthcare programs, using SQL, Python, and dbt to ensure secure, scalable data interoperability.