European Salary Benchmark Report

The following report contains gross salary data for senior professionals in 25 European countries. To provide insight into compensation benchmarks, the tables show the distribution of salaries for selected job positions across company sizes (SMEs, startups, and corporates). This segmentation highlights how compensation varies depending on the organizational context. Salaries are presented by department, hierarchy level, and country.

Data collected in October 2025.

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Salary Benchmark

Methodology

Austria

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Belarus

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Belgium

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Cyprus

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Czech Republic

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Denmark

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Estonia

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Finland

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France

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Germany

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Greece

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Ireland

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Italy

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Luxembourg

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Malta

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Netherlands

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Norway

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Poland

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Portugal

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Romania

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Spain

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Sweden

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Switzerland

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Ukraine

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United Kingdom

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Methodology

TalentUp provides access to a vast amount of data, including information on more than 250 million professionals, 45 million salaries, and 8 million businesses. Every month, TalentUp regularly updates this data, offering a current perspective on the market.

The platform enables users to compare worker salaries to market rates, conduct competitor research, and compare salaries across various cities. With a wide range of over 700 positions available in more than 300 locations, TalentUp equips you with the necessary insights to remain competitive in the current job market.

1

Collect data

We gather data from over 300 trusted sources, including job boards and social networks, ensuring it is comprehensive and up-to-date. We consolidate this collected data into a user-friendly database, which serves as a fundamental resource for our platform. In TalentUp, clients can trust the accuracy, reliability, and relevance of data.

Methodology Step 1
2

Normalize data

Our aim is to make data comparable, accurate, and user-friendly. Our team of experts diligently transforms data from various languages, fields, and formats into standardized formats for in-depth analysis. TalentUp simplifies data understanding, providing clients with clear and actionable insights that drive business progress.

Methodology Step 2
3

Remove duplicate data

To ensure precision and currency, we eliminate duplicate data by cross referencing information sources. Using a sophisticated algorithm, we identify synonyms and variations in job titles, mapping them to a standardized title. This meticulous approach guarantees the most precise and current information for clients.

Methodology Step 3
4

Data validation

We validate data accuracy by examining patterns from various sources. For instance, when assessing salaries, we consider factors such as seniority, experience, and required skills, comparing job profiles with similar ones in comparable companies. Our experts use this methodology to assess new salary data, ensuring that the data clients receive is precise, dependable, and pertinent.

Methodology Step 4

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