Data Analytics Engineer
573.621 kr. (DKK)/yr
275,78 kr. (DKK)/hr
16.406 kr. (DKK)/yr
The average data analytics engineer gross salary in Køge, Denmark is 573.621 kr. or an equivalent hourly rate of 276 kr.. This is 3% lower (-20.137 kr.) than the average data analytics engineer salary in Denmark. In addition, they earn an average bonus of 16.406 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Køge, Denmark. An entry level data analytics engineer (1-3 years of experience) earns an average salary of 406.384 kr.. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of 647.176 kr..
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625.593 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 Køge, Denmark is 5% more 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 PageKøge (Danish pronunciation: [ˈkʰøː(j)ə], older spelling Kjøge) is a Danish seaport on the coast of Køge Bugt (Bay of Køge) 39 km southwest of Copenhagen. It is the principal town and seat of Køge Municipality, Region Zealand, Denmark. In 2025, the urban area had a population of 38,506. The natural harbour and strategic location have given Køge a long history as a market town. Today, that past is evident in a well-preserved old town centre with many half-timbered houses. Køge is located in the Co
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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