Extract Transform Load Developer
641.394 kr. (DKK)/yr
308,36 kr. (DKK)/hr
22.192 kr. (DKK)/yr
The average extract transform load developer gross salary in Nuuk, Greenland is 641.394 kr. or an equivalent hourly rate of 308 kr.. This is 2% lower (-15.526 kr.) than the average extract transform load developer salary in Denmark. In addition, they earn an average bonus of 22.192 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nuuk, Greenland. An entry level extract transform load developer (1-3 years of experience) earns an average salary of 456.353 kr.. On the other end, a senior level extract transform load developer (8+ years of experience) earns an average salary of 720.632 kr..
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697.447 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Extract Transform Load Developer will increase 9 % over 5 years.
This chart displays the highest level of education for:
Extract Transform Load Developer, 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 Nuuk, Greenland is 13% 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 PageNuuk (Greenlandic pronunciation: [nuːk] ; Danish: Godthåb) is the capital and most populous city of Greenland, an autonomous territory of Denmark. It is the seat of the Sermersooq municipality and the government of Greenland and is the territory's largest cultural and economic center. In January 2025, it had a population of 20,113—more than a third of the territory's population—making it one of the smallest capital cities in the world by population. The city was founded in 1728 by the Danish-No
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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