Engineering Supervisor Software
98.184 € (EUR)/yr
47,20 € (EUR)/hr
5.292 € (EUR)/yr
The average engineering supervisor software gross salary in Kaiserslautern, Germany is 98.184 € or an equivalent hourly rate of 47 €. This is 12% lower (-13.174 €) than the average engineering supervisor software salary in Germany. In addition, they earn an average bonus of 5.292 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Kaiserslautern, Germany. An entry level engineering supervisor software (1-3 years of experience) earns an average salary of 68.022 €. On the other end, a senior level engineering supervisor software (8+ years of experience) earns an average salary of 111.420 €.
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111.894 € (EUR)
14 %
Based on our compensation data, the estimated salary potential for Engineering Supervisor Software will increase 14 % over 5 years.
This chart displays the highest level of education for:
Engineering Supervisor Software, 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 Kaiserslautern, Germany is 1% more than the average cost of living in Germany. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageKaiserslautern (German pronunciation: [ˌkaɪzɐsˈlaʊtɐn] ; Palatine German: Lautre) is a town in southwest Germany, located in the state of Rhineland-Palatinate at the edge of the Palatinate Forest. The historic centre dates to the 9th century. It is 459 kilometres (285 miles) from Paris, 117 km (73 miles) from Frankfurt am Main, 666 km (414 miles) from Berlin, and 159 km (99 miles) from Luxembourg. Kaiserslautern is home to about 100,000 people. Additionally, approximately 45,000 NATO military pe
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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