Data Virtualization Engineer
998.318 kr. (DKK)/yr
479,96 kr. (DKK)/hr
43.127 kr. (DKK)/yr
The average data virtualization engineer gross salary in Køge, Denmark is 998.318 kr. or an equivalent hourly rate of 480 kr.. This is 3% lower (-35.051 kr.) than the average data virtualization engineer salary in Denmark. In addition, they earn an average bonus of 43.127 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Køge, Denmark. An entry level data virtualization engineer (1-3 years of experience) earns an average salary of 701.173 kr.. On the other end, a senior level data virtualization engineer (8+ years of experience) earns an average salary of 1.127.562 kr..
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1.086.632 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Data Virtualization Engineer will increase 9 % 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 Køge, Denmark is 5% more than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageKøge (Danish pronunciation: [ˈkʰøː(j)ə], older spelling Kjøge) is a Danish seaport on the coast of Køge Bugt (Bay of Køge) 39 km southwest of Copenhagen. It is the principal town and seat of Køge Municipality, Region Zealand, Denmark. In 2025, the urban area had a population of 38,506. The natural harbour and strategic location have given Køge a long history as a market town. Today, that past is evident in a well-preserved old town centre with many half-timbered houses. Køge is located in the Co
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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