Engineer Data Virtualization
928.489 kr (SEK)/yr
446,39 kr (SEK)/hr
40.111 kr (SEK)/yr
The average engineer data virtualization gross salary in Eskilstuna, Sweden is 928.489 kr or an equivalent hourly rate of 446 kr. This is 1% lower (-9.393 kr) than the average engineer data virtualization salary in Sweden. In addition, they earn an average bonus of 40.111 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Eskilstuna, Sweden. An entry level engineer data virtualization (1-3 years of experience) earns an average salary of 652.321 kr. On the other end, a senior level engineer data virtualization (8+ years of experience) earns an average salary of 1.049.283 kr.
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1.039.606 kr (SEK)
12 %
Based on our compensation data, the estimated salary potential for Engineer Data Virtualization will increase 12 % over 5 years.
This chart displays the highest level of education for:
Engineer Data Virtualization, 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 Eskilstuna, Sweden is 3% 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 PageEskilstuna (Swedish pronunciation: [ˈɛ̂sːkɪlsˌtʉːna] ) is a city and the seat of Eskilstuna Municipality, Södermanland County, Sweden. The city of Eskilstuna had 69,948 inhabitants in 2020, with a total population of 107,806 inhabitants in Eskilstuna municipality 2023. Eskilstuna has a large Sweden Finn population. The town is located on the River Eskilstunaån, which connects Lake Hjälmaren and Lake Mälaren.
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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