Virtualization Engineer - Data
£66,404 (GBP)/yr
£31.93 (GBP)/hr
£2,869 (GBP)/yr
The average virtualization engineer - data gross salary in Windermere, United Kingdom is £66,404 or an equivalent hourly rate of £32. This is 7% lower (-£5,051) than the average virtualization engineer - data salary in United Kingdom. In addition, they earn an average bonus of £2,869. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Windermere, United Kingdom. An entry level virtualization engineer - data (1-3 years of experience) earns an average salary of £46,680. On the other end, a senior level virtualization engineer - data (8+ years of experience) earns an average salary of £75,127.
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£77,232 (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 Windermere, United Kingdom is 8% 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 PageWindermere (historically Winder Mere) is a ribbon lake in Cumbria, England. It is within the Lake District and is the largest lake in England by length, area, and volume, although considerably smaller than the largest Scottish lochs and Northern Irish loughs. Windermere is about 11 miles (18 km) in length and 1 mile (1.6 km) at its widest, has a maximum depth of 64 metres (210 ft), and has an elevation of 39 metres (128 ft) above sea level. Its outflow is the River Leven, which drains into Morec
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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