Engineer Data Analytics
548.946 kr. (DKK)/yr
263,92 kr. (DKK)/hr
15.700 kr. (DKK)/yr
The average engineer data analytics gross salary in Arhus, Denmark is 548.946 kr. or an equivalent hourly rate of 264 kr.. This is 8% lower (-44.953 kr.) than the average engineer data analytics salary in Denmark. In addition, they earn an average bonus of 15.700 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Arhus, Denmark. An entry level engineer data analytics (1-3 years of experience) earns an average salary of 388.903 kr.. On the other end, a senior level engineer data analytics (8+ years of experience) earns an average salary of 619.337 kr..
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598.683 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Engineer Data Analytics will increase 9 % over 5 years.
This chart displays the highest level of education for:
Engineer Data Analytics, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryThe cost of living in Arhus, Denmark is 1% 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 PageAarhus (, US also ; Danish: [ˈɒːˌhuˀs] , locally also [ˈɒːˌhus]) is the second-largest city in Denmark and the seat of Aarhus Municipality. It is located on the eastern shore of Jutland in the Kattegat sea and approximately 187 kilometres (116 mi) northwest of Copenhagen. Its urban population was 301,049 in 2025. Dating back to the late 8th century, Aarhus was founded as a harbour settlement at the mouth of the Aarhus River and quickly became a trade hub. The first Christian church was built the
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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