Data Analytics Engineer
547.074 kr. (DKK)/yr
263,02 kr. (DKK)/hr
15.646 kr. (DKK)/yr
The average data analytics engineer gross salary in Kolding, Denmark is 547.074 kr. or an equivalent hourly rate of 263 kr.. This is 8% lower (-46.740 kr.) than the average data analytics engineer salary in Denmark. In addition, they earn an average bonus of 15.646 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Kolding, Denmark. An entry level data analytics engineer (1-3 years of experience) earns an average salary of 387.576 kr.. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of 617.225 kr..
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596.641 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 Kolding, Denmark is 7% 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 PageKolding (Danish pronunciation: [ˈkʰʌle̝ŋ]) is a Danish seaport city located at the head of Kolding Fjord in the Region of Southern Denmark. It is the seat of Kolding Municipality. It is a transportation, commercial, and manufacturing centre and has numerous industrial companies, principally geared towards shipbuilding. The manufacturing of machinery and textiles and livestock export are other economically significant activities. With a population of 95,897 (1 January 2025), the Kolding municipal
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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