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
Senior Data Engineer, Core Banking Migrations
Build and own data migration pipelines to move core banking data from legacy systems like Ultradata into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Senior Data Engineer - Databricks Data & AI · ·
Senior Data Engineer builds and deploys Databricks-based Lakehouse data pipelines using Spark, Delta Lake, and dbt to productionize AI models and migrate enterprise data platforms.
Lead Data Engineer - Snowflake Data & AI · ·
Lead a team to design and deploy Snowflake-based data architectures, build ETL/ELT pipelines, and productionise AI models for clients using cloud-native tools and best practices.
Data Engineer - Azure ELT/ETL Pipelines (Brisbane)
Builds and maintains Azure-based ELT/ETL pipelines and data warehouses to move and transform large datasets for analytics and business decisions.
Data Engineer (On-Prem) - Daily Rate Contract
Build and maintain on-premise data pipelines and warehouses for a bank, using ETL tools, SQL, and Microsoft BI stack to deliver analytics-ready data.
Senior Data Engineer - Automation & AI
Build AI-powered knowledge systems and retrieval pipelines for an HCM suite, integrating LLMs, RAG, and agentic workflows in TypeScript/Node.js and Python.
Senior Data Engineer
Designs and builds scalable data pipelines and platforms using Databricks, Python/Scala/SQL, and multi-cloud infrastructure to support analytics and reporting for enterprise clients.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud data pipelines and warehouses using Snowflake, Airflow, and AWS to power analytics and decision-making across a large enterprise.
Data Engineer: Build Azure Pipelines & Medallion Architecture
Build and maintain Azure data pipelines and medallion architecture, profiling large datasets and diagnosing issues while collaborating with teams using Azure DevOps or Git.
Fabric Data Engineer - Modernisation & Analytics
Designs and maintains scalable data pipelines and analytics solutions using Microsoft Fabric to modernize data infrastructure and deliver trusted insights.
Data Engineer: Build Scalable ETL Pipelines & BI
Designs and maintains scalable ETL pipelines and BI infrastructure to integrate Shopify, ERP, CRM, and logistics data for analytics and reporting.
Data Engineer: Real-Time, High-Scale Pipelines
Design and maintain high-scale data pipelines and models that power research and trading systems, ensuring reliable data collection and delivery.
Senior Data Engineer: Build Scalable Pipelines & Insights
Design and build scalable data pipelines to feed analytics and reporting across Nine’s TV, radio, digital, and publishing platforms.
Senior Data Engineer: Property Data & APIs | Hybrid
Designs, builds, and operates scalable data pipelines, models, and APIs to power property data solutions for internal and external users using modern cloud stack.
Senior Data Engineer — Cloud, ETL & Data Strategy
Lead data engineering initiatives for Veolia ANZ, designing cloud-based ETL pipelines and advancing data strategy in Sydney.
GCP Data Engineer — Streaming ETL & BigQuery Expert
Design and implement scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to build batch and streaming ETL/ELT solutions for real-time analytics in fintech.