Algorithm Developer
651.858 kr. (DKK)/yr
313,39 kr. (DKK)/hr
29.138 kr. (DKK)/yr
The average algorithm developer gross salary in Tórshavn - Faroe Islands, Denmark is 651.858 kr. or an equivalent hourly rate of 313 kr.. This is 6% lower (-38.632 kr.) than the average algorithm developer salary in Denmark. In addition, they earn an average bonus of 29.138 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Tórshavn - Faroe Islands, Denmark. An entry level algorithm developer (1-3 years of experience) earns an average salary of 455.185 kr.. On the other end, a senior level algorithm developer (8+ years of experience) earns an average salary of 735.233 kr..
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710.919 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Algorithm Developer will increase 9 % over 5 years.
This chart displays the highest level of education for:
Algorithm Developer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salary- Python Certification
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The cost of living in Tórshavn - Faroe Islands, Denmark is 3% less 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 PageOperation Valentine, the British occupation of the Faroe Islands during the Second World War, began after Operation Weserübung, the German invasion of metropolitan Denmark and Norway. In April 1940, the United Kingdom occupied the strategically important Faroe Islands (part of Denmark) to forestall a German invasion. The Faroe Islands became part of the British Northern Garrisons, a chain of islands across the Atlantic Ocean, between Orkney and Iceland. British troops left shortly after the end
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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