Virtualization Engineer - Data
919.111 kr (SEK)/yr
441,88 kr (SEK)/hr
39.706 kr (SEK)/yr
The average virtualization engineer - data gross salary in Umea, Sweden is 919.111 kr or an equivalent hourly rate of 442 kr. This is 2% lower (-18.771 kr) than the average virtualization engineer - data salary in Sweden. In addition, they earn an average bonus of 39.706 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Umea, Sweden. An entry level virtualization engineer - data (1-3 years of experience) earns an average salary of 645.733 kr. On the other end, a senior level virtualization engineer - data (8+ years of experience) earns an average salary of 1.038.685 kr.
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1.029.106 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 Umea, Sweden is 6% less 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 PageUmeå (Swedish pronunciation: [ˈʉ̌ːmɛɔ] , locally: [ˈʉ̌ːmɛ] ; Finnish and Meänkieli: Uumaja; Ume Sami: Ubmeje) is a city in northeast Sweden. It is the seat of Umeå Municipality and the capital of Västerbotten County. Situated on the Ume River, Umeå is the largest locality in Norrland and the thirteenth largest in Sweden, with a wider municipal population of 132,235 inhabitants in the beginning of 2023. When Umeå University was established in 1965, growth accelerated, and the amount of housing ha
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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