Engineer Salary in Austria during 2024

Salary details

The average Engineer salary lies between USD 42,866 and USD 72,222 in Austria. 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 | 41186 jobs Python | 40150 jobs Machine Learning | 29000 jobs Computer Science | 25840 jobs SQL | 22675 jobs Pipelines | 21451 jobs Architecture | 20954 jobs AWS | 20511 jobs Security | 16513 jobs Testing | 15648 jobs Java | 14066 jobs Agile | 14021 jobs Azure | 13923 jobs Research | 12991 jobs Spark | 12841 jobs Data pipelines | 12656 jobs ETL | 12241 jobs Big Data | 11266 jobs GCP | 11126 jobs APIs | 10200 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 | 37020 jobs Health care | 20341 jobs Equity / stock options | 15342 jobs Flex hours | 13536 jobs Startup environment | 11757 jobs Competitive pay | 11688 jobs Team events | 9749 jobs Flex vacation | 9406 jobs Salary bonus | 9167 jobs Insurance | 8898 jobs Medical leave | 8596 jobs Parental leave | 8149 jobs Wellness | 5418 jobs 401(k) matching | 5113 jobs Conferences | 2651 jobs Relocation support | 2586 jobs Home office stipend | 2312 jobs Transparency | 1928 jobs Flexible spending account | 1858 jobs Fitness / gym | 1787 jobs

Salary Composition

In Austria, 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 is composed of a fixed base amount, which forms the bulk of the compensation package. This base salary is often complemented by performance-based bonuses, which can vary from 5% to 20% of the base salary, depending on the company's performance and individual contributions. Additionally, larger companies or those in competitive industries like finance or tech may offer stock options or equity as part of the remuneration package. Benefits such as health insurance, retirement contributions, and professional development allowances are also common, adding further value to the overall compensation.

Increasing Salary

To increase your salary from the median level, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in high-demand areas like deep learning, natural language processing, or big data analytics.
• Advanced Education: Pursuing a master's or Ph.D. in a relevant field can significantly boost your earning potential.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends.
• Industry Switch: Transitioning to a higher-paying industry, such as finance or healthcare, can lead to a substantial salary increase.
• Leadership Roles: Aim for positions with managerial responsibilities, which typically offer higher compensation.

Educational Requirements

Most AI/ML/Data Science positions require at least a bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering. However, a master's degree is often preferred and can be a significant advantage in the job market. Some roles, especially those in research or academia, may require a Ph.D. in a specialized area of AI or machine learning.

Helpful Certificates

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

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

These certifications can validate your skills and make you more competitive in the job market.

Experience Requirements

Typically, entry-level positions require 1-3 years of experience in a related field, which can include internships or project work. For more advanced roles, 3-5 years of experience is common, with a focus on hands-on experience in data analysis, machine learning model development, and deployment. Experience in specific industries or with particular technologies can also be advantageous.

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