Data & AI jobs
Data & AI jobs in Australia span data analysis, data engineering, data science, artificial intelligence, machine learning and related technology roles. Robert Walters recruits permanent and contract opportunities for technology companies, financial services organisations, government agencies and commercial businesses across Australia, from data analysts and engineers through to senior data and AI professionals. Explore current opportunities across Australia.
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Jobs
Salary: AUD140,000 - AUD160,000 per annum
Location: West Perth
Date Posted: 16 October 2026
Salary: Negotiable
Location: Sydney CBD
Date Posted: 13 October 2026
Salary: AUD130,000 - AUD160,000 per annum
Location: West Perth
Date Posted: 9 October 2026
FAQs
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What data and AI jobs are available in Australia?
Data and AI jobs in Australia span data analysis, data engineering, data science, artificial intelligence, machine learning, and related technology roles. Opportunities can range from analytical and technical positions through to senior data and AI roles, depending on experience and specialisation. Explore Data & AI jobs across Australia to see current opportunities. -
What is the difference between a data analyst, data engineer, and data scientist?
A data analyst focuses on interpreting data to identify trends and support business decisions, while a data engineer builds and maintains the systems that collect and process data. A data scientist uses statistical and analytical techniques to develop models and generate insights from complex datasets. -
What qualifications do you need for a data or AI job?
Data and AI jobs can require qualifications in computer science, data science, statistics, mathematics, engineering or related fields, depending on the role. Employers may also value practical experience, technical skills and relevant certifications. Data skills can range from basic data literacy through to Python, SQL and data visualisation, depending on the role. -
Which programming languages do employers ask for in data roles?
Programming languages used in Australian data roles vary by specialisation and employer. Python and SQL are widely relevant across data analysis, engineering and data science, while R and other languages may be required for specific roles. Data professionals can also benefit from broader data skills, including data visualisation and analytics. Explore technology and digital opportunities to compare roles and requirements.