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: Spark/PySpark on Azure Lakehouses
Designs and builds Spark/PySpark pipelines on Azure Lakehouses to ingest, transform, and store investment data for analytics and downstream systems.
Data Engineering Tech Lead
Lead a team to design and build scalable Azure-based data pipelines using Synapse, Fabric, and PySpark, while mentoring engineers and driving best practices in cloud data engineering.
Technical Lead - Data Engineering
Lead the design and build of a modern Azure-based data platform, owning scalable pipelines, governance, and mentoring engineers to power enterprise analytics and ML.
Graduate Data Engineer: Build Cloud Data & AI (Hybrid)
Graduate role building cloud data platforms with Microsoft Fabric, Python, and SQL to power analytics and AI solutions.
GCP Data Engineer — Build Scalable Data Pipelines
Designs and builds scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, Pub/Sub, and Terraform to power analytics and digital experiences.
Snowflake Data Engineering Lead - Transform Analytics
Lead Snowflake migrations and semantic modeling to build scalable analytics platforms, collaborating with global teams and integrating BI tools like Power BI.
On-Prem Data Engineer — Brisbane Contract (6 months)
Builds and maintains on-prem ETL pipelines using SSIS/WhereScape and SQL, with Microsoft BI stack and Azure DevOps for data solutions.
Senior Data Engineer — Azure Databricks & Data Platform Lead
Design and scale data pipelines and analytics on Azure Databricks, ADF, and ADLS for Tennis Australia’s data platform.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
Senior Azure Data Engineer: Synapse, PySpark, Lakehouse
Designs and builds scalable Azure data pipelines using Synapse, PySpark, and Fabric to deliver government BI insights and data governance.
Senior Data Engineer: Scale Azure Data Platform & BI
Senior Data Engineer to design, build, and optimize Azure-based data pipelines and BI solutions for a footwear retailer.
Head of AI & Data Platform Engineering
Lead engineering for data services and AI platforms at a fintech-focused property tech company, driving scalable infrastructure and high-integrity data governance.
Data Engineering Lead
Lead a team of data engineers to design and modernize cloud-based data pipelines and architectures for a lottery/SaaS company, migrating from legacy systems and ensuring governance, security, and scalability.
Technical Lead – Data Engineering
Lead a data engineering team to design and build scalable Azure Databricks pipelines for ETL, data modeling, and cloud analytics in a financial-services context.
Senior Data Engineer
Senior Data Engineer builds and maintains RACV’s Snowflake-based enterprise data platform, designing scalable ELT/ETL pipelines and data models to turn raw data into trusted insights for business decisions.
Senior Data Engineer: AI-Driven Lakehouse & Cloud Pipelines
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
Graduate Data Engineer
Graduate Data Engineer role building cloud-based data pipelines and analytics solutions using Microsoft Fabric, Python, SQL, and Power BI in a two-year program.
GCP Data Engineer (Google)
Build and scale GCP-based data pipelines and BigQuery models to process petabyte-scale data, enabling analytics and ML across enterprise systems using Dataflow, Pub/Sub, and Composer.
Hybrid Senior Data Engineer for Government Transformation
Senior Data Engineer building enterprise data warehouses, lakes, and ETL/ELT pipelines for a NSW government transformation program, enabling analytics and AI/ML across on-prem and cloud.
Cloud Data Engineer: Azure Lakehouse & BI Enablement
Design and build scalable Azure-based data pipelines and lakehouse architectures to power enterprise reporting, analytics, and AI initiatives using Azure Data Factory, Microsoft Fabric, and Power BI.