Virtualization Engineer - Data
97.626 € (EUR)/yr
46,94 € (EUR)/hr
4.217 € (EUR)/yr
The average virtualization engineer - data gross salary in Sylt, Germany is 97.626 € or an equivalent hourly rate of 47 €. This is 3% lower (-2.906 €) than the average virtualization engineer - data salary in Germany. In addition, they earn an average bonus of 4.217 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Sylt, Germany. An entry level virtualization engineer - data (1-3 years of experience) earns an average salary of 68.628 €. On the other end, a senior level virtualization engineer - data (8+ years of experience) earns an average salary of 110.450 €.
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111.583 € (EUR)
14 %
Based on our compensation data, the estimated salary potential for Virtualization Engineer - Data will increase 14 % 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 Sylt, Germany is 13% more than the average cost of living in Germany. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSylt (German pronunciation: [zʏlt] ; Danish: Sild; Söl'ring North Frisian: Söl) is an island in northern Germany, part of Nordfriesland district, Schleswig-Holstein, with a distinctively shaped shoreline. It belongs to the North Frisian Islands and is the largest island in North Frisia. The northernmost island of Germany, it is known for its tourist resorts, notably Westerland, Kampen and Wenningstedt-Braderup, as well as for its 40-kilometre-long (25-mile) sandy beach. It is frequently covered
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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