Data Engineer
1.002.384 kr. (DKK)/yr
481,92 kr. (DKK)/hr
43.303 kr. (DKK)/yr
The average data engineer gross salary in Fredericia, Denmark is 1.002.384 kr. or an equivalent hourly rate of 482 kr.. This is 2% lower (-19.411 kr.) than the average data engineer salary in Denmark. In addition, they earn an average bonus of 43.303 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Fredericia, Denmark. An entry level data engineer (1-3 years of experience) earns an average salary of 704.029 kr.. On the other end, a senior level data engineer (8+ years of experience) earns an average salary of 1.133.669 kr..
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1.091.058 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Data Engineer will increase 9 % over 5 years.
This chart displays the highest level of education for:
Data Engineer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salary- SQL Certification
- Pega Certified Data Scientist (PCDS)
The cost of living in Fredericia, Denmark is 4% 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 PageFredericia (Danish pronunciation: [fʁeðɐˈʁetɕæ, fʁæðɐˈʁætɕæ]) is a town located in Fredericia Municipality in the southeastern part of the Jutland peninsula in Denmark. The city is part of the Triangle Region, which includes the neighbouring cities of Kolding and Vejle. It was founded in 1650 by Frederick III, after whom it was named. The city itself has a population of 41,543 (1 January 2025) and the Fredericia Municipality has a population of 52,616 (2025).
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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