Supervisor Software Engineering
kr 1 087 387 (NOK)/yr
kr 522,78 (NOK)/hr
kr 58 610 (NOK)/yr
The average supervisor software engineering gross salary in Sandnes, Norway is kr 1 087 387 or an equivalent hourly rate of kr 523. This is 3% lower (-kr 32 332) than the average supervisor software engineering salary in Norway. In addition, they earn an average bonus of kr 58 610. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Sandnes, Norway. An entry level supervisor software engineering (1-3 years of experience) earns an average salary of kr 753 337. On the other end, a senior level supervisor software engineering (8+ years of experience) earns an average salary of kr 1 233 976.
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kr 1 246 676 (NOK)
15 %
Based on our compensation data, the estimated salary potential for Supervisor Software Engineering will increase 15 % over 5 years.
This chart displays the highest level of education for:
Supervisor Software Engineering, the majority at 64% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Sandnes, Norway is 4% 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 PageSandnes (pronounced [ˈsɑ̂nːeːs] ) is a city and municipality in Rogaland, Norway and a suburb of Stavanger. It lies immediately south of Stavanger the 4th largest municipality in Norway, and together the Stavanger/Sandnes area is the third-largest urban area in Norway. The urban city of Sandnes lies in the extreme western part of the vast municipality and it makes up about 5% of the total land area of the municipality. Sandnes is part of the traditional district of Jæren. The western part of the
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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