Updated November 3, 2026
Find data engineer jobs in Australia from company career pages, all in one list, including roles that never reach LinkedIn or Indeed. Employers also post this role as Analytics Engineer, ETL Developer, Big Data Engineer and Data Platform Engineer.
Accenture Australia P/L Company · Melbourne, 161 Collins Street, Level 5, Australia · Hybrid
PwC IT Services Egypt · Sydney, Australia
Commonwealth Bank of Australia · Sydney CBD Area, Australia
Commonwealth Bank of Australia · Sydney CBD Area, Australia
realestate.com.au Pty · Richmond, Melbourne VIC, Australia
Commonwealth Bank of Australia · Sydney CBD Area, Australia
Based on the newest listings. Not every posting states pay, level, or skills.
Data engineers build the pipelines and warehouses that move and store a company's data. Postings usually name SQL, Python, Spark, Airflow or dbt, and a warehouse such as Snowflake, BigQuery, or Redshift.
JobLookout collects Data Engineer openings in Australia from company career pages and puts them in one list, including roles that never get posted on LinkedIn or Indeed. Open a role and apply on the company's career page.
Recent listings include roles at Accenture Australia P/L Company, Commonwealth Bank of Australia, CoStar Realty Information, realestate.com.au Pty, SS CORP SVCS MUMBAI PVT LTD and PwC IT Services Egypt. The company name is on every listing, so you always know who is hiring.
Recent listings are in Sydney, Melbourne, Sydney CBD Area, Richmond and Brisbane.
Most recent listings are hybrid. Remote roles appear when companies post them, and the work-mode filter narrows the list to remote only.
Skills that come up most in recent listings: Python, SQL, CI/CD, Data modelling, dbt, Snowflake, Terraform, Data governance. Each posting lists its own requirements, so read the full description before you apply.
This list groups related titles, including Analytics Engineer, ETL Developer, Big Data Engineer and Data Platform Engineer, so you are not searching one keyword at a time.
Recent listings range from senior to executive. Experience level is a filter, from intern and new grad through entry, mid, senior, lead, and director, so you only see Data Engineer roles at your level.
Employment type is its own filter: full-time, part-time, contract, and internship. Pick the one you want and the rest drop out of your list.
Yes. This page is Data Engineer openings located in Australia, including remote roles that still require Australia.
Yes. Data Engineer jobs are also listed for India, United States, Canada, United Kingdom, Poland and Singapore. You can switch the country at any time.
Worth checking before you apply: whether the work is reporting, pipelines, or models; the stack they name, and whether it is the one you use; how much of the job is stakeholder work versus building.
Open a role from your list and follow its apply link to the company's career page. You complete the application there.
This page refreshes every hour, and new openings are added as they appear on company career pages. Sort the full list by date to see the newest first.
No. You can open the list, read a role, and apply on the company site without an account. An account is only used for saved jobs, Copilot, and the resume tools.
Yes. Paid plans include resume tools, including tailoring your resume to a specific posting before you apply.
Similar roles include Machine Learning Engineer, AI Engineer, Research Scientist, AI Trainer / Data Annotator and Data Scientist.
