Engineering Supervisor Software
743.627 kr. (DKK)/yr
357,51 kr. (DKK)/hr
40.081 kr. (DKK)/yr
The average engineering supervisor software gross salary in Silkeborg, Denmark is 743.627 kr. or an equivalent hourly rate of 358 kr.. This is 6% lower (-47.206 kr.) than the average engineering supervisor software salary in Denmark. In addition, they earn an average bonus of 40.081 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Silkeborg, Denmark. An entry level engineering supervisor software (1-3 years of experience) earns an average salary of 514.732 kr.. On the other end, a senior level engineering supervisor software (8+ years of experience) earns an average salary of 842.440 kr..
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811.003 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Engineering Supervisor Software will increase 9 % 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 Silkeborg, Denmark is 6% less than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSilkeborg (Danish: [ˈse̝lkəˌpɒˀ]) is a Danish town with a population of 52,571 (1 January 2025). Silkeborg is the seat of Silkeborg Municipality, with a population of 101,574 as of 2025. Silkeborg is located in the middle of the Jutlandic peninsula, slightly west of the geographical centre of Denmark. The city is situated on the Gudenå River in the hilly and lush landscape of Søhøjlandet, surrounded by Denmark's largest forest district and a great number of lakes. Silkeborg is also known as Den
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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