Engineer Salary in Australia during 2024

Salary details

The average Engineer salary lies between USD 119,056 and USD 141,610 in Australia. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: March 2, 2025

Top 20 Job Tags for Engineer roles

The three most common job tag items assiciated with Engineer job listings are Engineering, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 47955 jobs Python | 46808 jobs Machine Learning | 34096 jobs Computer Science | 30469 jobs SQL | 26382 jobs Pipelines | 25293 jobs Architecture | 24160 jobs AWS | 23449 jobs Security | 18980 jobs Testing | 17674 jobs Azure | 16641 jobs Java | 15838 jobs Research | 15511 jobs Agile | 15391 jobs Data pipelines | 14800 jobs Spark | 14524 jobs ETL | 14242 jobs GCP | 13027 jobs Big Data | 12916 jobs APIs | 11989 jobs

Top 20 Job Perks/Benefits for Engineer roles

The three most common job benefits and perks assiciated with Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 43167 jobs Health care | 22983 jobs Equity / stock options | 17267 jobs Flex hours | 15851 jobs Startup environment | 13796 jobs Competitive pay | 13040 jobs Team events | 10964 jobs Flex vacation | 10907 jobs Salary bonus | 10572 jobs Insurance | 10199 jobs Medical leave | 9952 jobs Parental leave | 9367 jobs 401(k) matching | 5840 jobs Wellness | 5663 jobs Conferences | 3111 jobs Relocation support | 3094 jobs Home office stipend | 2589 jobs Transparency | 2315 jobs Fitness / gym | 2086 jobs Flexible spending account | 2058 jobs

Salary Composition

In Australia, the salary composition for AI/ML/Data Science roles can vary significantly based on factors such as region, industry, and company size. Typically, the salary package is divided into:

• Base Salary: This is the fixed component and usually constitutes the majority of the total compensation. It can vary widely depending on the cost of living in the region and the demand for AI/ML skills in the industry.

• Bonus: Many companies offer performance-based bonuses. These can be annual or quarterly and are often tied to individual, team, or company performance metrics. In tech hubs or larger companies, bonuses can be a significant part of the compensation package.

• Additional Remuneration: This may include stock options, especially in tech startups or large tech companies, which can be a lucrative part of the compensation if the company performs well. Other benefits might include health insurance, retirement contributions, and professional development allowances.

Increasing Salary

To increase your salary from this position, consider the following steps:

• Skill Enhancement: Continuously update your skills with the latest AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.

• Advanced Education: Pursuing further education, such as a master's or Ph.D. in a relevant field, can open up higher-paying opportunities.

• Leadership Roles: Transitioning into leadership or managerial roles can significantly increase your earning potential. This might involve leading a team of data scientists or managing AI projects.

• Industry Change: Some industries, like finance or healthcare, may offer higher salaries for AI/ML roles due to the critical nature of the work and the value added by AI solutions.

Educational Requirements

Most AI/ML/Data Science positions require at least a bachelor's degree in a relevant field such as computer science, mathematics, statistics, or engineering. However, many employers prefer candidates with a master's degree or Ph.D., especially for more advanced roles. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications demonstrate proficiency in specific tools and platforms, which can be advantageous in the job market.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data science or related fields. Experience with real-world data, machine learning model deployment, and working in cross-functional teams is highly valued. For senior roles, more extensive experience, including project management and leadership, is often required.

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