Data Virtualization Engineer
3.696.875 дин. (RSD)/yr
1.777,34 дин. (RSD)/hr
159.705 дин. (RSD)/yr
The average data virtualization engineer gross salary in Novi Sad, Serbia is 3.696.875 дин. or an equivalent hourly rate of 1.777 дин.. This is 7% higher (+244.124 дин.) than the average data virtualization engineer salary in Serbia. In addition, they earn an average bonus of 159.705 дин.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Novi Sad, Serbia. An entry level data virtualization engineer (1-3 years of experience) earns an average salary of 2.684.797 дин.. On the other end, a senior level data virtualization engineer (8+ years of experience) earns an average salary of 4.331.623 дин..
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5.431.921 дин. (RSD)
47 %
Based on our compensation data, the estimated salary potential for Data Virtualization Engineer will increase 47 % over 5 years.
This chart displays the highest level of education for:
Data Virtualization Engineer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
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The cost of living in Novi Sad, Serbia is 1% less than the average cost of living in Serbia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageNovi Sad (Serbian: Нови Сад, pronounced [nôʋiː sâːd] ; see below for other names) is the second largest city in Serbia and the administrative center of the autonomous province of Vojvodina. It is located in the southern portion of the Pannonian Plain on the border of the Bačka and Syrmia geographical regions, lying on the banks of the Danube river, and facing the northern slopes of Fruška Gora. According to the 2022 census, the population of Novi Sad city proper stands at 260,438, its contiguous
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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