Engineer Salary in Austria during 2024

Salary details

The average Engineer salary lies between USD 42,866 and USD 74,222 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: Dec. 15, 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 | 48674 jobs Python | 47347 jobs Machine Learning | 34739 jobs Computer Science | 30349 jobs SQL | 26576 jobs Pipelines | 25355 jobs Architecture | 24865 jobs AWS | 24080 jobs Security | 19698 jobs Testing | 18453 jobs Azure | 16598 jobs Java | 16462 jobs Agile | 16452 jobs Research | 15400 jobs Data pipelines | 14886 jobs Spark | 14762 jobs ETL | 14321 jobs Big Data | 13068 jobs GCP | 13056 jobs APIs | 12093 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 | 43825 jobs Health care | 23437 jobs Equity / stock options | 17685 jobs Flex hours | 15680 jobs Startup environment | 13676 jobs Competitive pay | 13561 jobs Team events | 11386 jobs Flex vacation | 10781 jobs Salary bonus | 10538 jobs Insurance | 10188 jobs Medical leave | 9853 jobs Parental leave | 9274 jobs Wellness | 6257 jobs 401(k) matching | 5765 jobs Conferences | 3072 jobs Relocation support | 3051 jobs Home office stipend | 2558 jobs Transparency | 2269 jobs Fitness / gym | 2064 jobs Flexible spending account | 2049 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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