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: Feb. 23, 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 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.

Related salaries

Want to contribute?