Data Engineering Jobs in Australia
There are 1,705 open Data Engineering jobs in Australia on freehire right now. 589 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$825 | A$950 | A$1,060 | 17 |
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 265 · 16%
- Onsite 34 · 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 186
- 501-1000 employees 97
- 51-200 employees 35
- 11-50 employees 16
- 201-500 employees 5
- 1-10 employees 3
Quantexa Data Engineer — Spark, Scala, Azure
Builds and optimizes ETL pipelines and scoring models using Quantexa, Scala, and Spark on Azure for client projects in Australia.
Lakehouse Data Engineer - Power BI & Fabric
Builds scalable data pipelines and Power BI reports using Microsoft Fabric, Python, and SQL to modernize legacy data systems.
Data Engineer: Scale-Up with Relocation Support
Design, expand, and optimize data pipelines and architecture for predictive models at a growing fintech company on Australia’s Sunshine Coast.
Data Engineer: Build Modern Cloud Data Platform
Build and maintain cloud data pipelines and integrations for a home-building company, ensuring reliable data for analytics and reporting.
Data Engineer: CDC & Data Migration to Microsoft Fabric
Data Engineer to migrate audit data from a legacy platform to Microsoft Fabric using CDC, ensuring accuracy and audit-readiness.
Lead Data Engineer: Microsoft Fabric & Data Platforms
Designs and builds scalable data platforms using Microsoft Fabric, translating business needs into technical solutions while leading projects and mentoring junior engineers.
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Amazon Web Services (AWS) Data Engineer — Network Operations & Fabric Analytics
Build and maintain AWS-based ETL/ELT pipelines and data models for network operations, ensuring data quality and migrating legacy systems to cloud-native platforms.
Flexible Cloud Data Engineer | Snowflake, AWS & Dagster
Design, build, and scale a cloud data platform using Snowflake, dbt, Dagster, and AWS to improve data quality, performance, and governance while optimizing cloud costs.
GCP Data Engineer: Real-Time Pipelines & BigQuery
Designs and builds scalable GCP data pipelines using BigQuery, Dataflow, Pub/Sub and Cloud Storage, focusing on batch and streaming ETL/ELT workflows and BigQuery data models.
GCP Data Engineer — BigQuery & Dataflow Architect
Design and build scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to process petabyte-scale data for analytics and ML workloads.
Data Engineer — PySpark, ADF & ETL Specialist
Build and maintain ETL/ELT pipelines using PySpark and Azure Data Factory to process large-scale data operations.
Data Engineer: Databricks & dbt, Hybrid (Sydney)
Build and optimize data pipelines using Databricks and dbt, integrate data sources, and collaborate on data projects in a hybrid Sydney-based role.
Lead Data Engineer - Databricks
Lead a team to design and deploy Databricks-based data pipelines and Lakehouse architectures, using PySpark/SQL and cloud platforms to build AI-ready data platforms for enterprise clients.
Azure Data Engineer — AI-First Data Platform Specialist
Designs and builds AI-first data pipelines on Microsoft Azure, using Python to integrate and transform customer data for analytics and AI workloads.
Data Engineer - GCP
Build and maintain scalable data pipelines on GCP (BigQuery, Dataflow) to power analytics and decision-making for a fintech brokerage.
GCP Data Engineer: Scalable Pipelines & BigQuery
Builds and scales GCP-based data pipelines and BigQuery models to feed analytics and decision-making systems.
Data Engineer-NSW
Build and maintain AWS-based data pipelines and real-time streaming solutions using Python, PySpark, Airflow, and Kinesis for a HR-focused product company.
Data Engineer-GCP
Build and maintain scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.