SAP Data Processing Developer
762.259 kr (SEK)/yr
366,47 kr (SEK)/hr
27.822 kr (SEK)/yr
The average sap data processing developer gross salary in Norrkoping, Sweden is 762.259 kr or an equivalent hourly rate of 366 kr. This is 1% lower (-7.698 kr) than the average sap data processing developer salary in Sweden. In addition, they earn an average bonus of 27.822 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Norrkoping, Sweden. An entry level sap data processing developer (1-3 years of experience) earns an average salary of 542.510 kr. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of 859.843 kr.
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849.319 kr (SEK)
11 %
Based on our compensation data, the estimated salary potential for SAP Data Processing Developer will increase 11 % 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 Norrkoping, Sweden is 0% less than the average cost of living in Sweden. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageNorrköping ( NOR-shə-ping, Swedish: [ˈnɔ̂rːˌɕøːpɪŋ] ) is a city in the province of Östergötland in eastern Sweden and the seat of Norrköping Municipality, Östergötland County, about 160 km (100 miles) southwest of the national capital Stockholm, 40 km (25 miles) east of county seat Linköping and 60 km (40 miles) west of the Södermanland capital of Nyköping. The city has a population of 98,229 inhabitants in 2023, out of a municipal total of 144,980, making it Sweden's eleventh largest city and
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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