Developer Extract Transform Load
kr 814 569 (NOK)/yr
kr 391,62 (NOK)/hr
kr 28 184 (NOK)/yr
The average developer extract transform load gross salary in Sandefjord, Norway is kr 814 569 or an equivalent hourly rate of kr 392. This is 5% lower (-kr 45 243) than the average developer extract transform load salary in Norway. In addition, they earn an average bonus of kr 28 184. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Sandefjord, Norway. An entry level developer extract transform load (1-3 years of experience) earns an average salary of kr 580 074. On the other end, a senior level developer extract transform load (8+ years of experience) earns an average salary of kr 916 715.
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kr 932 531 (NOK)
14 %
Based on our compensation data, the estimated salary potential for Developer Extract Transform Load will increase 14 % over 5 years.
This chart displays the highest level of education for:
Developer Extract Transform Load, 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 Sandefjord, Norway is 6% less than the average cost of living in Norway. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSandefjord (Norwegian pronunciation: [ˈsɑ̂nːəfjuːr] ) is a municipality in Vestfold county, Norway. It is located in the traditional district of Vestfold. The administrative centre of the municipality is the city of Sandefjord. Other population centres in Sandefjord include Andebu, Fevang, Fokserød, Fossnes, Freberg, Hafallen, Helgerød, Himberg, Høyjord, Kodal, Lahelle, Melsomvik, Råstad, Solløkka, Stokke, Storevar, Strand, and Unneberg. The 422-square-kilometre (163 sq mi) municipality is the 2
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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