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
Senior Data Engineer
Build and scale a Snowflake-centric cloud data platform to power analytics and decision-making at Jetstar, designing reliable pipelines and enforcing data quality and governance.
Senior Data Engineer
Build and maintain Jetstar’s Snowflake-centric cloud data platform, designing scalable pipelines and enforcing data quality to power analytics and evidence-based decisions across the airline.
Senior Data Engineer
Senior Data Engineer builds and maintains data warehouses, ETL pipelines, and analytics platforms for a government agency, using SQL, Python, and cloud/on-prem systems.
Lead Azure Data Engineer
Lead the design and development of ETL/ELT pipelines and data storage solutions on Azure for a Federal Government department, enabling analytics and decision-making with modern cloud technologies.
Data Engineer – Azure & Databricks
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Lead Data Engineering Consultant
Lead a team building a reconciliation staging area for securities products, importing and transforming trade data in AWS and ensuring accurate matches between external MT messages and internal positions.
Senior Data Engineer - Finance Data Platform
Build and maintain scalable data pipelines and models for financial planning, reporting, and forecasting using Databricks, SQL, and EPM tools like TM1.
Senior Data Engineer, GCP & Data Architecture
Designs and builds scalable data pipelines on GCP, focusing on architecture and customer engagement strategies.
Microsoft Azure Data Engineer
Build and maintain Azure-based data warehouses and ETL pipelines using Azure Data Factory, Synapse, and SQL, integrating cloud and on-prem systems.
Senior Data Engineer — Craft Scalable Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines and architectures to enable reliable, business-ready data for analytics and decision-making.
Senior Data Engineer: Architect & Scale Data Pipelines
Senior Data Engineer to design, build, and scale data pipelines and infrastructure using Snowflake, Airflow, and DBT, turning raw data into trusted assets for analytics.
Senior Azure Data Engineer – Hybrid, Data Pipelines
Designs, builds, and maintains Azure data pipelines using ADF, Databricks, and Synapse, while developing Python APIs and working with SQL/JSON in a hybrid role.
Senior Data Engineer — Kafka & Trading Data Pipelines
Build and maintain Kafka-based streaming pipelines and data models for a trading environment, integrating market data, risk, and contract systems.
Senior Security Data Engineer — SIEM, Pipelines & Data Lakes
Designs and optimizes security data pipelines, SIEM platforms, and data lakes to bolster SOC operations for a cybersecurity provider.
Senior Databricks Data Engineer: Pipelines & Analytics
Design and optimize scalable data pipelines using Databricks and cloud platforms, collaborating with teams to build analytics solutions.
Senior Data Engineer: Real-Time Data & AI Pipelines
Build real-time data pipelines and AI workflows on AWS, integrating LLM features and automating ML lifecycles for customer experience platforms.
Data Engineer
Design and maintain scalable data pipelines in Azure for a government digital transformation, ensuring data integrity and supporting analytics and ML workloads.
Data Engineer
Build and lead Snowflake-based data pipelines and analytics solutions for clients, mentoring teams and enabling AI-driven applications in a hybrid consultancy role.
Data Engineer
Designs and builds end-to-end data pipelines and cloud data lakes for a Big 4 bank, using Python, Spark and Azure to create reusable data assets and support analytics.
Data Engineer
Build and maintain ETL/ELT pipelines and data storage on Azure for a government department, using Data Factory, Databricks, and SQL Server.