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
AI-First Data Engineer: Build Scalable Pipelines
A hands-on Data Engineer role at The GPT Group to design, build and maintain data ingestion pipelines and curated datasets that power the data platform and AI initiatives.
Senior Data Engineer — Azure/Data Platform Leader (Admissions)
Senior Data Engineer at UNSW designing, building, and supporting data pipelines on Azure and Databricks, leading analytics and data integration for the Admissions Transformation Project.
Databricks Data Engineer Senior Analyst
Design, develop, and optimize scalable data pipelines on Azure Databricks using Apache Spark/PySpark, Azure Data Factory, and Delta Lake to support advanced analytics in a banking context.
Snowflake Data Engineer — Hybrid, Impactful Pipelines
Design and build Snowflake/AWS data ingestion pipelines and data models for an Australian university's data transformation program, with hybrid on-campus work.
Lead Data Platform Engineer
Lead the design and build of UNSW College’s enterprise data platform using Microsoft Fabric, Azure, and Power BI to deliver trusted analytics and insights for student and academic outcomes.
Senior Data Engineer, CX
Build real-time data pipelines and ML workflows on AWS, integrating LLMs into agentic CX features for NiCE’s workforce-management products.
Data Engineer: ML Pipelines & Data Platforms
Data Engineer building ETL/ELT and ML pipelines in cloud environments for an Australian ecommerce company, supporting Marketing, Purchasing, Logistics and Finance teams with data-driven insights.
Data Engineer
Builds and maintains enterprise-scale data pipelines on Microsoft Azure for Rabobank, ensuring data-driven decision-making across the bank’s agribusiness operations.
Azure Data Engineer – Scalable Data Pipelines (Hybrid Sydney)
Build scalable data pipelines using Azure services like ADF, Synapse, Databricks, and ADLS, while maintaining governance and security standards, and working with stakeholders to enable data-driven decisions.
Data Engineer: Build Scalable Data Pipelines
Data Engineer responsible for designing and maintaining scalable data pipelines to transform casino source system data into analytics-ready datasets, using Python, Node.js, SQL, and orchestrating ETL workflows.
Data Engineer
A Data Engineer designing, building, and maintaining data ingestion pipelines, databases, and curated datasets for a data platform and AI estate, using technologies like Snowflake, Python, SQL, AI-assisted tooling, and DataOps automation.
Data Engineer
Builds and maintains scalable data pipelines for casino systems, transforming raw transactional data into optimized datasets for analytics and downstream applications using Python, Node.js, SQL, and ETL tools.
Automation Engineer, Data Platform & Pipelines
Build and maintain automation frameworks for data platforms and pipelines, ensuring reliable data ingestion, transformation, and reporting workflows.
Clinical Data Engineer: Health Analytics & Pipelines
Builds and maintains a clinical analytics pipeline extracting data from EMR via ODBC into a data warehouse, then to AWS S3, transforming it into an OMOP model for health analytics.
Data Engineer
Designs and executes data pipelines, cleanses datasets, and translates insights into business decisions using SQL and analytical tools for clients in public, corporate, and boutique sectors.
Data Engineer
Lead Data Engineer builds and maintains enterprise-scale data platforms using Azure Databricks and Microsoft Fabric to support analytics, AI, and ML in a Federal Government environment.
Data Engineer
Data engineer designing and maintaining data pipelines and ETL processes across cloud and on-premise environments, collaborating with stakeholders to deliver data solutions for platform modernization.