Engineer Salary in Australia during 2024

Salary details

The average Engineer salary lies between USD 110,990 and USD 132,475 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: Nov. 10, 2024

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 | 40957 jobs Python | 39920 jobs Machine Learning | 28828 jobs Computer Science | 25711 jobs SQL | 22550 jobs Pipelines | 21338 jobs Architecture | 20854 jobs AWS | 20400 jobs Security | 16427 jobs Testing | 15568 jobs Java | 14005 jobs Agile | 13957 jobs Azure | 13846 jobs Research | 12909 jobs Spark | 12784 jobs Data pipelines | 12593 jobs ETL | 12181 jobs Big Data | 11218 jobs GCP | 11057 jobs APIs | 10147 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 | 36843 jobs Health care | 20243 jobs Equity / stock options | 15266 jobs Flex hours | 13466 jobs Startup environment | 11692 jobs Competitive pay | 11639 jobs Team events | 9693 jobs Flex vacation | 9363 jobs Salary bonus | 9126 jobs Insurance | 8851 jobs Medical leave | 8563 jobs Parental leave | 8106 jobs Wellness | 5384 jobs 401(k) matching | 5100 jobs Conferences | 2638 jobs Relocation support | 2567 jobs Home office stipend | 2295 jobs Transparency | 1909 jobs Flexible spending account | 1855 jobs Fitness / gym | 1777 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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