Virtualization Engineer - Data
966.071 kr (SEK)/yr
464,46 kr (SEK)/hr
41.734 kr (SEK)/yr
The average virtualization engineer - data gross salary in Taby, Sweden is 966.071 kr or an equivalent hourly rate of 464 kr. This is 3% higher (+28.131 kr) than the average virtualization engineer - data salary in Sweden. In addition, they earn an average bonus of 41.734 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Taby, Sweden. An entry level virtualization engineer - data (1-3 years of experience) earns an average salary of 678.725 kr. On the other end, a senior level virtualization engineer - data (8+ years of experience) earns an average salary of 1.091.754 kr.
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1.081.686 kr (SEK)
12 %
Based on our compensation data, the estimated salary potential for Virtualization Engineer - Data will increase 12 % over 5 years.
This chart displays the highest level of education for:
Virtualization Engineer - Data, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Taby, Sweden is 5% more than the average cost of living in Sweden. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageTäby (Swedish pronunciation: [ˈtɛ̌ːbʏ] ) was previously a trimunicipal locality, with 76,700 inhabitants in 2024. However, as from 2016, Statistics Sweden has amalgamated this locality with the Stockholm urban area. It is the seat of Täby Municipality in Stockholm County, Sweden. It was also partly located in Danderyd Municipality (the Enebyberg area) and a very small part in Sollentuna Municipality. Täby kyrkby in the northern part of Täby Municipality forms on the other hand part of the Vallen
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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