Virtualization Engineer - Data
£65,743 (GBP)/yr
£31.61 (GBP)/hr
£2,840 (GBP)/yr
The average virtualization engineer - data gross salary in Weymouth, United Kingdom is £65,743 or an equivalent hourly rate of £32. This is 8% lower (-£5,712) than the average virtualization engineer - data salary in United Kingdom. In addition, they earn an average bonus of £2,840. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Weymouth, United Kingdom. An entry level virtualization engineer - data (1-3 years of experience) earns an average salary of £46,215. On the other end, a senior level virtualization engineer - data (8+ years of experience) earns an average salary of £74,379.
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£76,462 (GBP)
16 %
Based on our compensation data, the estimated salary potential for Virtualization Engineer - Data will increase 16 % 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 Weymouth, United Kingdom is 7% less than the average cost of living in United Kingdom. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageThe Tall Ships Races are races for sail training "tall ships" (sailing ships). The races are designed to encourage international friendship and training for young people in the art of sailing. The races are held annually in European waters and consists of two racing legs of several hundred nautical miles, and a "cruise in company" between the legs. Over one half of the crew of each ship participating in the races must consist of young people. Between 1973 and 2003 the races were known as The Cut
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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