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
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines, ETL workflows, and data lakehouse solutions using PySpark, Databricks, and Azure/AWS tools to deliver business insights for Toyota’s mobility operations.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud-based data pipelines and models using Snowflake, dbt, and AWS to enable analytics and automation for a national glass services company.
Data Engineering Analyst: Build Pipelines & Insights
Build and maintain data pipelines to process, transform, and integrate data for reliable insights and reporting.
Data Engineer: Imagery & Video ML Data Pipelines
Build and maintain ETL pipelines that process raw imagery and video into ML-ready datasets for training computer-vision models in a defence-focused team.
Lead Snowflake Data Engineer for AI-Driven Cloud Data
Lead a team to design and build Snowflake-based data architectures and pipelines for AI-driven cloud solutions, mentoring delivery teams and aligning with client needs.
Senior Data Engineer (Marketing)
Senior Data Engineer builds and optimizes marketing data pipelines, integrations, and automation workflows to power customer engagement, analytics, and activation for a fintech comparison platform.
Data Engineering Tech Lead — Azure Databricks
Lead a team to migrate legacy data warehouses to modern data products on Azure Databricks, designing scalable solutions and mentoring engineers.
Lead Data Engineer - Snowflake
Lead a team to design and deploy Snowflake-based data architectures, build high-performance ETL/ELT pipelines, and productionise AI models for clients using Snowpark ML and Cortex.
Data Engineer / SQL Specialist
Builds and maintains enterprise data pipelines and complex SQL views in Azure to support data-driven decisions for a public-sector client.
Principal Data Engineer
Principal Data Engineer designs and advises on Snowflake-based data architectures for enterprise clients, bridging pre-sales, strategy, and technical delivery.
Health Data Engineer – Scalable Pipelines (Hybrid)
Build and maintain scalable, automated data pipelines for NSW Health using SQL and ETL tools to support health information systems.
Data Engineer – Cloud Pipelines, Snowflake & Kafka
Designs and maintains AWS-based data pipelines, Snowflake models, and real-time Kafka ingestion for enterprise analytics and digital transformation.
Data Engineer
Build and maintain production-grade data pipelines, integrations, and AI-enabled analytics for a modern estate-planning platform.
Senior Data Engineer, GCP & Data Pipelines
Designs and builds scalable GCP-based data pipelines and cloud-native architectures for clients, using Databricks, Snowflake, Azure, and BigQuery.
Data Engineer
Build and maintain scalable data pipelines and warehousing solutions in Azure to support Kinetic’s sustainable transport business with trusted, high-quality data.
Hybrid Data Engineer - AI-Ready Data Platform
Build and maintain scalable data pipelines in Microsoft Fabric to power analytics, reporting, and AI initiatives for a law firm.
Chief Data Engineer & AI Platform Lead
Lead data engineering teams and build cloud-native platforms that deliver AI-ready data, bridging engineering, data science, and business outcomes.
Data Engineer
Design and maintain data pipelines and integrations in a large enterprise environment to enable reliable reporting and decision-making using Azure, Snowflake, and Python/SQL.
Data Engineer
Design and maintain scalable data pipelines and Lakehouse/Warehouse solutions using Microsoft Fabric to modernize SCC’s analytics platform and integrate clinical, finance, and operational data for trusted insights.