Data Engineering Jobs in Australia
There are 1,697 open Data Engineering jobs in Australia on freehire right now. 606 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 263 · 15%
- Onsite 31 · 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
Data Engineer
Build and maintain data pipelines and customer datasets to consolidate legacy systems into a unified profile platform, enabling AI-driven personalization at a property-tech company.
Hybrid Senior Data Engineer: Scalable Pipelines & AI
Designs and builds scalable data pipelines and AI-powered data products to support enterprise transformation and customer outcomes at a major bank.
Staff Data Engineer | AI Data Platform Architect
Designs and owns Checkbox’s data infrastructure and AI platform architecture to support agentic-first SaaS for legal teams.
Data Engineer - SQL & Azure Data Pipelines
Builds and maintains scalable Azure data pipelines and writes advanced SQL to support a government agency’s data-driven decision-making platform.
Data Engineer
Build and maintain ETL pipelines that clean and structure large volumes of imagery and video data for machine-learning training in defence and national security applications.
Data Engineer: AI & Analytics Platform (Hybrid)
Design and build scalable data pipelines using Databricks, Snowflake, and dbt to power AI, analytics, and reporting for EY’s platform.
Data Engineer
Builds scalable data pipelines and real-time streaming platforms using Java, Kafka, and AWS services to power analytics and AI-driven decisions.
Data Engineer – AI & Analytics Pipelines (Hybrid)
Designs and builds scalable data pipelines using Databricks, Snowflake, Data Factory and dbt to power analytics and AI workloads.
Lead Data Engineer
Lead hands-on data engineering work, designing and building scalable AWS and Databricks data platforms while mentoring engineers and aligning solutions with business needs.
Senior Data Engineer – Marketing Data Pipelines & Tech Lead
Senior Data Engineer builds and optimizes marketing data pipelines and automation to support analytics and customer engagement at a comparison-shopping platform.
Senior Data Engineer
Senior Data Engineer building scalable cloud data pipelines and platforms to support AI, analytics, and enterprise decision-making using Python, PySpark, and Azure technologies.
Marketing Data Engineer
Build and maintain a marketing data platform that ingests and standardizes data from digital ads, agencies, and analytics tools to power marketing analytics and performance measurement.
GCP Data Engineer
Build and maintain GCP-based data platforms using BigQuery, Airflow, and Python to deliver scalable ETL pipelines and warehouse solutions for reliable data delivery.
Data Engineer: Cloud Data Pipelines & Analytics
Designs and maintains cloud-based data pipelines and infrastructure to deliver reliable, high-quality data for analytics and decision-making.
Data Engineer
Design and build scalable AWS-based data pipelines and ETL/ELT processes using Snowflake and Kafka to support enterprise analytics and reporting.
Data Engineer
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Data Engineer (Marketing)
Build and maintain automated data workflows connecting marketing, customer, and business systems to power campaigns, analytics, and integrations for a fintech comparison platform.