SAP Data Processing Developer
Rp436.168.063 (IDR)/yr
Rp209.696,18 (IDR)/hr
Rp15.920.134 (IDR)/yr
The average sap data processing developer gross salary in Semarang, Indonesia is Rp436.168.063 or an equivalent hourly rate of Rp209.696. This is 15% lower (-Rp78.614.345) than the average sap data processing developer salary in Indonesia. In addition, they earn an average bonus of Rp15.920.134. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Semarang, Indonesia. An entry level sap data processing developer (1-3 years of experience) earns an average salary of Rp314.578.387. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of Rp503.332.712.
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Rp500.602.129 (IDR)
15 %
Based on our compensation data, the estimated salary potential for SAP Data Processing Developer will increase 15 % 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 Semarang, Indonesia is 2% more than the average cost of living in Indonesia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSemarang (Javanese: ꦏꦸꦛꦯꦼꦩꦫꦁ, Kutha Semarang) is the capital and largest city of Central Java province in Indonesia. It was a major port during the Dutch colonial era, and is still an important regional center and port today. The city has been named as the cleanest tourist destination in Southeast Asia by the ASEAN Clean Tourist City Standard (ACTCS) for 2020–2022. It has an area of 373.78 km2 (144.32 sq mi) and had a population of 1,555,984 at the 2010 census and 1,653,524 at the 2020 census, m
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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