Is on LinkedIn?
đ July 31
ML Data Engineer responsible for tracking CV accuracy metrics and curating datasets for model retraining. Join a high-performance team reshaping the logistics industry with innovative technology.
Python
đ July 27
Principal Data Engineer leading a data engineering team responsible for core data infrastructure at CINC Systems. Focus on designing scalable data systems and mentoring engineers.
đ Anywhere in the World
đ° Private Equity Round - CINC Systems on 2023-12
â° Full Time
đŽ Lead
đ° Data Engineer
AWS
Cloud
Google Cloud Platform
Microservices
Python
SQL
Job not on LinkedIn
đ July 27
Job not on LinkedIn
Clinical Data Migration Consultant with emphasis on designing and implementing complex data solutions. Requires extensive experience in React and other programming languages.
đŠđș Australia â Remote
đ” $950 / year
âł Contract/Temporary
đ Senior
đŽ Lead
đ° Data Engineer
AWS
Azure
Cloud
Docker
Google Cloud Platform
JavaScript
Oracle
Python
React
Rust
Go
đ July 24
MDM Data Engineer at AAIS overseeing master data management and governance. Developing platforms and pipelines while collaborating across teams to ensure data integrity and quality.
AWS
Cloud
ETL
Python
SQL
đ July 23
Data Engineer designing and implementing scalable data solutions for Blue Orange Digital. Collaborating with teams to build data platforms and optimize data pipelines in a fully remote setting.
đ Anywhere in the World
đ” $135k - $155k / year
đ° $700k Corporate round on 2022-05
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
AWS
Azure
Cloud
ETL
Google Cloud Platform
Java
JavaScript
Linux
Python
SQL
Tableau
Terraform
TypeScript
Job not on LinkedIn
đ July 22
Job not on LinkedIn
Data Engineer designing, implementing, and automating deployment of distributed systems for data collection and processing. Working collaboratively with Data Analysts and internal partners for future data solutions.
Airflow
ETL
Kafka
Python
Spark
SQL
Job not on LinkedIn
đ July 16
Job not on LinkedIn
Senior Data Engineer managing and maturing the Snowflake platform for Zepto's data products. Building data pipelines and integrating AI into workflows for improved processes.
Airflow
AWS
Cloud
Kafka
Python
Ruby
SQL
Terraform
Go
Job not on LinkedIn
đ June 27
Job not on LinkedIn
51 - 200
Data Engineer optimizing data estate and monitoring ETL processes for digital marketing sector. Collaborating on architecture migration and data analytics projects to enhance performance.
ETL
đ June 17
Finance BI & Data Engineer transforming finance function at Who Gives A Crap. Designing real-time reporting layers and deploying advanced ML/AI techniques for financial forecasting.
đŠđș Australia â Remote
đ° $41.5M Series A on 2021-09
âł Contract/Temporary
đĄ Mid-level
đ Senior
đ° Data Engineer
đ May 21
Data Engineer developing scalable data pipelines for Bitcoin mining software, supporting compute infrastructure, and influencing company-wide strategy.
Airflow
Cloud
ETL
Postgres
Python
Job not on LinkedIn
đ April 1
Job not on LinkedIn
Software Engineer focusing on data collection and ingestion pipeline for AI model training at Speechify. Collaborating with Scientists to enhance data quality and cost-efficiency.
đ Anywhere in the World
đ” $140k - $200k / year
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
Cloud
Docker
Google Cloud Platform
Linux
Python
Terraform
đ April 1
Python and Kubernetes Specialist Engineer at Canonical developing open source solutions for data analytics and AI/ML. Collaborating on MLOps and cloud deployments with a distributed global team.
Distributed Systems
Kubernetes
Linux
Open Source
Python
Job not on LinkedIn
đ March 25
Job not on LinkedIn
Data Engineering Intern at Atlassian, partnering with product teams to improve data assets and guide strategy. Hands-on technical training over a summer internship program.
đŠđș Australia â Remote
đ° $150M Secondary market on 2014-05
đšâđ Internship
âȘïž Entry-level
đ° Data Engineer
Python
SQL
Job not on LinkedIn
đ March 20
Job not on LinkedIn
Data Engineer at Appsilon responsible for building scalable data pipelines and ensuring data quality for global organizations. Collaborate with cross-functional teams to leverage massive datasets.
đ Anywhere in the World
đ” zĆ17k - zĆ23k / month
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
AWS
Azure
Cloud
Distributed Systems
Django
Docker
ETL
Flask
Google Cloud Platform
Kubernetes
Python
SQL
Job not on LinkedIn
đ February 27
Job not on LinkedIn
Data Migration Analyst supporting large-scale HR systems transformation. Delivering end-to-end data migration activities using SAP ECC and BODS tools in a remote capacity.
ETL
SQL
đ February 9
Senior Data Engineer at Trafilea, building and maintaining data pipelines for data-driven strategies. Focused on data architecture and ensuring cost-effective data processes.
Airflow
Amazon Redshift
Apache
AWS
Cloud
Docker
EC2
ETL
Kubernetes
Python
SQL
Terraform
Job not on LinkedIn
đ January 13
Job not on LinkedIn
Head of Data Engineering at Holafly, defining the architectural backbone for a global data ecosystem and ensuring data-driven decision-making for millions of travellers.
Cloud
ETL
Google Cloud Platform
Java
NoSQL
Python
Scala
Job not on LinkedIn
đ August 22, 2025
Job not on LinkedIn
Build Python notebooks to ingest APIs into Microsoft Fabric; implement Bronze/Silver/Gold Medallion layers and sync data to Azure Synapse for reporting.
Azure
Cloud
Node.js
PySpark
Python
The average salary for remote data engineers in Australia is A$91,000 per year. This is based on data from 59 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
âȘïž Entry-level Data Engineer (0 yrs) | 1 | A$0 |
đą Junior Data Engineer (1-2 yrs) | 3 | A$0 |
đĄ Mid-level Data Engineer (2-4 yrs) | 26 | A$206,500 |
đ Senior Data Engineer (5-9 yrs) | 26 | A$0 |
đŽ Lead Data Engineer (10+ yrs) | 3 | A$0 |
We analyzed 39 job listings in the last year and found it takes about 53 days for employers to close a job opening.
We reviewed 59 job postings and found the top 10 skills employers are asking for most often are:
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
