Data Engineering Jobs in Australia
There are 1,690 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 259 · 15%
- Onsite 30 · 2%
- Remote 18 · 1%
Visa sponsorship offered in 14% of the 93 postings that state a position on it.
Seniority
- Senior 558
- Lead 231
- Principal 39
- Staff 35
- Middle 27
- C-level 13
Who is hiring
- 1000+ employees 184
- 501-1000 employees 97
- 51-200 employees 35
- 11-50 employees 16
- 201-500 employees 5
- 1-10 employees 3
Data Engineer: Modern Data Platform & ETL Architect
Linkforce Engineering is hiring a Data Engineer to build and maintain data pipelines and warehouse foundations using SQL Server and PostgreSQL. The role focuses on improving data platform performance and ensuring data quality through hands-on development.
Global Data Engineer - ETL & Analytics | Flexible Working
Builds and supports data pipelines for ETL and analytics, enabling BI across the company while collaborating with stakeholders and IT teams.
GCP Data Engineer - Career Growth & Certifications
GCP Data Engineer at a Melbourne tech consultancy, designing and building data pipelines, data lakes, and warehouses using Python, Spark, Airflow, Snowflake, and Databricks across client industries.
Backend & Data Engineer for Production ML Pipelines
Mid-level backend/data engineer at a boutique consultancy building AWS-based APIs, data pipelines, and production ML model deployments while collaborating with economists and modellers.
Data Engineer — Global BI Pipelines, Hybrid, Wine Perks
Vinarchy is seeking a Data Engineer to design, build, and maintain cloud-based data pipelines to support global business intelligence and analytics initiatives.
Data Engineer: Growth, Impact & Global Projects
Data Engineer building and optimizing data pipelines for public sector clients using Python, Spark, and SQL on modern cloud data platforms.
Lead Data Engineer
The Lead Data Engineer will provide technical leadership for an enterprise data warehouse program, focusing on data acquisition, modeling, and ETL development. The role requires extensive experience with Snowflake, AWS, and advanced SQL to guide development teams and improve delivery practices.
Azure & Databricks Data Engineer - Pipelines & Lakehouse
The Data Engineer will design and optimize data solutions using Azure and Databricks to build scalable pipelines and data lakes. The role focuses on enabling advanced analytics and machine learning through Python, SQL, and Spark expertise.
Technical Specialist, Data Engineer
The Technical Specialist in Data Engineering will design and maintain scalable data pipelines and analytics products to drive business insights. The role involves using SQL, DBT, and Tableau to translate business needs into technical solutions while mentoring team members.
Data Engineer
The Data Engineer will manage and maintain ETL pipelines and identity management systems within a defence environment. The role focuses on ensuring the availability and performance of directory synchronisation services and identity lifecycle processes.
Data Engineer – Sydney
The Data Engineer will build and support scalable cloud-native data solutions using AWS services, SQL, and Python/PySpark. The role focuses on ETL/ELT pipeline development, data modeling, and database performance tuning.
Senior Data Engineer
This Senior Data Engineer role involves migrating legacy Microsoft SQL Server data platforms to AWS-native services like Aurora, Redshift, and Glue. The engineer will design scalable data pipelines, optimize database performance, and implement CI/CD practices within a large-scale cloud transformation project.
Lead Data Engineer
The Lead Data Engineer will build and scale a real-time event-streaming platform using Kafka, Flink, and ClickHouse while managing end-to-end data pipelines with BigQuery, dbt, and Python. The role involves setting technical direction, mentoring engineers, and ensuring high standards for data quality and observability.
AWS Data Engineer
This Senior Data Engineer role involves architecting and developing scalable, cloud-native data platforms on AWS using Python, SQL, and distributed processing tools. The position focuses on building robust data pipelines, implementing data governance, and providing technical leadership within an engineering team.
Senior Data Engineer - Marketing Data Pipelines
The Senior Data Engineer will design, build, and optimize scalable data workflows to support marketing, analytics, and customer data activation. This role involves owning end-to-end data pipelines and collaborating across cross-functional teams including Marketing, Product, and Engineering.
Lead Data Engineer
The Lead Data Engineer will provide technical leadership for a government data warehouse platform, focusing on SQL development, ETL processes, and data modeling. The role requires expertise in various database technologies and programming languages to improve data delivery frameworks and coding standards.
Data Engineer
Data Engineer maintaining data integrity, quality, and accessibility of Victoria Legal Aid's data infrastructure, using SQL, SSIS, PowerShell, Python, C#, and Azure DevOps in a hybrid office-based role.
Data Engineer
Data Engineer building scalable data pipelines and trusted data foundations to support reporting, analytics, and AI initiatives at a Western Australian power utility, using SQL, Python, Snowflake, Kafka, and CDC tools.