Optimization Engineer
538.150 kr. (DKK)/yr
258,73 kr. (DKK)/hr
17.221 kr. (DKK)/yr
The average optimization engineer gross salary in Esbjerg, Denmark is 538.150 kr. or an equivalent hourly rate of 259 kr.. This is 5% lower (-28.076 kr.) than the average optimization engineer salary in Denmark. In addition, they earn an average bonus of 17.221 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Esbjerg, Denmark. An entry level optimization engineer (1-3 years of experience) earns an average salary of 380.707 kr.. On the other end, a senior level optimization engineer (8+ years of experience) earns an average salary of 599.670 kr..
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585.468 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Optimization Engineer will increase 9 % over 5 years.
This chart displays the highest level of education for:
Optimization Engineer, the majority at 100% with bachelors.
Typical Field of Study: Manufacturing Engineering
See how education can impact your salaryThe cost of living in Esbjerg, Denmark is 3% 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 PageEsbjerg (Danish: [ˈesˌpjɛɐ̯ˀ] , Jutish: [ˈɛspʲæa̯]) is a seaport city and seat of Esbjerg Municipality on the west coast of the Jutland peninsula in southwest Denmark. By road, it is 71 kilometres (44 mi) west of Kolding and 164 kilometres (102 mi) southwest of Aarhus. With an urban population of 71,554 (1 January 2025) it is the fifth-largest city in Denmark, and the largest in West Jutland. Before a decision was made to establish a harbour (now the second largest in Denmark) at Esbjerg in 1868
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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