Data Engineering Jobs in Australia
There are 1,704 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 185
- 501-1000 employees 97
- 51-200 employees 35
- 11-50 employees 16
- 201-500 employees 5
- 1-10 employees 3
Senior Data Engineer: Real-Time Financial Data (Hybrid)
Owns and scales TMGM’s real-time financial data pipelines using Kafka, RabbitMQ, Airflow and ClickHouse to deliver sub-second analytics in a regulated finance environment.
Azure Data Engineering Principal — Remote Leader
Lead Azure data-engineering projects for clients, designing analytics, BI, and governance solutions in the cloud.
Data Engineering Lead — Hybrid, Build Trusted Data Assets
Lead a team to build and maintain scalable data pipelines and infrastructure for reporting, analytics, and AI initiatives in a fintech company.
Principal Data Engineer
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Quantitative Trading Data Engineer (Hybrid)
Builds data pipelines and analytics tools in Python to support trading decisions in equity derivatives and options markets.
Data Platform Engineer - Snowflake, AI & ELT Pipelines
Builds and maintains Snowflake-based data pipelines and models that feed AI initiatives and commercial reporting, integrating dealer systems, ecommerce, and marketing data.
Senior Data Engineer (Engineer Database 4)- 27699
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
AI Data Platform Engineer — Azure OpenAI, 3-6mo Contract
Build and deploy AI-enabled data solutions on Azure, using RAG patterns and Fabric to turn data into actionable insights for sales and commercial teams.
Senior Data Engineer — Hybrid (50% WFH) for Enterprise Data
Build and maintain enterprise-scale data warehouses, data lakes, and analytics platforms, designing ETL/ELT pipelines and integrating data across on-prem and cloud environments.
Senior Azure Data Engineer - ETL/ELT & Databricks Expert
Designs and maintains scalable Azure data pipelines using Data Factory, Databricks, and Synapse to enable ETL/ELT workflows, data quality, and automation.
Data Engineering and Analytics Manager
Lead a team to build and maintain cloud data platforms (AWS data lake, Snowflake warehouse) that power reporting and analytics for a large university.
Data Engineering Lead: Build Scalable, Secure Data Pipelines
Lead a team to design and build scalable, secure data pipelines using Databricks and GCP for a fintech company.
Senior Data Engineering Manager
Lead a team of data engineers building and scaling Atlassian’s analytical data platforms that process billions of events monthly to power company-wide decision-making.
Principal Consultant - Data Engineering
Lead Azure-based data engineering projects, designing scalable analytics and BI solutions for clients using Microsoft’s cloud stack.
Senior Manager - Data Engineering
Lead a team of 10–15 engineers to design and scale cloud-native data platforms using Databricks, GCP, and PySpark, while setting engineering standards and security guardrails for enterprise-wide data transformation.
Technical Lead - Data Engineering
Lead a team to design and build scalable data pipelines on Azure Databricks for AIA’s insurance and financial services, focusing on ETL, data quality, and cloud best practices.
Lead Snowflake Data Engineer - AI & Lakehouse (Hybrid)
Lead a team to design Snowflake-based data pipelines and lakehouse architectures, enabling AI-driven analytics for clients while mentoring engineers and delivering scalable solutions.
GCP Data Engineer - Data Modelling
Design and build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
GCP Data Engineer – Build Scalable Cloud Data Pipelines
Build and maintain scalable data pipelines on Google Cloud Platform using Java or Python, focusing on batch and real-time data processing with DevOps practices.
Senior Data Engineer - Databricks
Senior Data Engineer builds and maintains Databricks-based data models and pipelines for NSW’s building regulator, turning regulatory data into trusted analytics to support compliance and policy decisions.