SAP Data Processing Developer
15 061 346 Ft (HUF)/yr
7 241,03 Ft (HUF)/hr
549 739 Ft (HUF)/yr
The average sap data processing developer gross salary in Budapest, Hungary is 15 061 346 Ft or an equivalent hourly rate of 7 241 Ft. This is 4% higher (+578 177 Ft) than the average sap data processing developer salary in Hungary. In addition, they earn an average bonus of 549 739 Ft. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Budapest, Hungary. An entry level sap data processing developer (1-3 years of experience) earns an average salary of 10 740 183 Ft. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of 17 120 228 Ft.
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20 612 108 Ft (HUF)
37 %
Based on our compensation data, the estimated salary potential for SAP Data Processing Developer will increase 37 % 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 Budapest, Hungary is 7% more than the average cost of living in Hungary. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageBudapest is the capital and most populous city of Hungary. It is Hungary's primate city with 1.7 million inhabitants and its greater metro area has a population of about 3.3 million, representing one-third of the country's population and producing above 40% of the country's economic output. Budapest is the political, economic, and cultural center of the country, among the ten largest cities in the European Union and the second largest urban area in Central and Eastern Europe. Budapest stands on
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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