SAP Data Processing Developer
kr 1 048 395 (NOK)/yr
kr 504,04 (NOK)/hr
kr 38 266 (NOK)/yr
The average sap data processing developer gross salary in Sandnes, Norway is kr 1 048 395 or an equivalent hourly rate of kr 504. This is 3% lower (-kr 32 415) than the average sap data processing developer salary in Norway. In addition, they earn an average bonus of kr 38 266. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Sandnes, Norway. An entry level sap data processing developer (1-3 years of experience) earns an average salary of kr 746 588. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of kr 1 183 919.
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kr 1 200 219 (NOK)
14 %
Based on our compensation data, the estimated salary potential for SAP Data Processing Developer will increase 14 % over 5 years.
This chart displays the highest level of education for:
SAP Data Processing 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 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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