Data Analytics Engineer
564.321 kr. (DKK)/yr
271,31 kr. (DKK)/hr
16.140 kr. (DKK)/yr
The average data analytics engineer gross salary in Esbjerg, Denmark is 564.321 kr. or an equivalent hourly rate of 271 kr.. This is 5% lower (-29.437 kr.) than the average data analytics engineer salary in Denmark. In addition, they earn an average bonus of 16.140 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Esbjerg, Denmark. An entry level data analytics engineer (1-3 years of experience) earns an average salary of 399.795 kr.. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of 636.684 kr..
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615.451 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 9 % over 5 years.
This chart displays the highest level of education for:
Data Analytics Engineer, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salary- SQL Certification
- Pega Certified Data Scientist (PCDS)
The 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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