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
Sr. Data Engineer.
Designs and maintains data pipelines using AWS Redshift, Glue, Snowflake, and Jenkins for a data-centric product team.
Senior Data Engineer
Builds and optimizes data pipelines using Java/Scala, AWS services, and Spark to process and transform large datasets for analytics.
Senior Data Engineer
Builds and maintains data pipelines and cloud infrastructure using Java, Scala, SQL, and AWS services like Lambda, Glue, and S3.
Senior Data Engineer
Builds and maintains data pipelines and warehouses, then visualizes insights using Power BI and Tableau with advanced SQL.
Pentaho ETL Developer
Designs, builds, and maintains ETL pipelines using Pentaho Kettle and SQL to move data between systems, troubleshooting issues and optimizing performance for a real-estate data warehouse.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and warehouses using Python, Scala, SQL, Azure, Databricks, and Spark for analytics and reporting.
GCP Data Engineer
Builds and optimizes GCP-based ETL pipelines, migrates legacy data (SQL/Oracle), and manages data governance (masking, encryption) using Cloud Dataflow, BigQuery, and Python.
Data Bricks - Data Engineer
Designs and deploys Databricks-based data pipelines and platforms on Azure, guiding clients through big-data and AI transformations using Spark SQL and Agile practices.
Data Engineer
Builds and maintains ETL pipelines and data warehouses using Microsoft SQL Server, SSIS, and Power BI for BI reporting.
Data Engineer
Designs and builds big-data pipelines in AWS/Azure using Python, Spark, SQL and NoSQL to ingest, process, store and analyze data for reporting and advanced analytics.
Data Engineer
Builds and maintains data pipelines using Azure, PySpark, and SQL to load and transform large datasets for analytics and reporting.
Data Engineer
Builds and maintains data pipelines, designs APIs, and develops Python-based systems using Django, PostgreSQL, and Kubernetes in an Agile environment.
Data Engineer
Builds and maintains data pipelines, feature repositories, and ML model deployments using Python, SQL, PySpark, and MLOps tools to support data science teams in production environments.
Data Engineer-Azure
Design and build cloud-native data solutions on Azure Synapse Analytics, including monitoring, security, and performance tuning for data warehouses and lakes.
Azure Dev Ops /Data Engineer
Designs and maintains SQL-based data pipelines and reports for Australian energy-market regulatory compliance using Power BI and SQL Server.
Big Data Engineer
Builds and maintains scalable big data pipelines, warehouses, and analytics platforms using Spark, Kafka, and SQL, handling both batch and real-time data processing for enterprise solutions.
Big Data Engineer
Builds and optimizes big-data pipelines using Hadoop, Hive, Spark, and Scala, with a focus on SQL and ETL workflows.
Real-Time Data Engineer — Data Lakes & Warehouses
Designs and implements data ingestion frameworks for batch and real-time streams, building scalable data warehouses and lakes to support low-latency analytics.
Data Engineer
Designs and builds batch and real-time data pipelines using AWS Kinesis, Kafka, and data warehouses/lakehouses for low-latency analytics.
DevOps Engineer (APS6) – Cloud Infra & Data Platform
The Data, Analytics and Intelligence (DAI) Branch at the Aged Care Quality and Safety Commission seeks a Dev Ops Engineer to manage cloud infrastructure, deliver scalable CI/CD pipelines, and ensure data governance…