Data Analytics Engineer
12 400 590 Ft (HUF)/yr
5 961,82 Ft (HUF)/hr
354 657 Ft (HUF)/yr
The average data analytics engineer gross salary in Miskolc, Hungary is 12 400 590 Ft or an equivalent hourly rate of 5 962 Ft. This is 5% lower (-680 125 Ft) than the average data analytics engineer salary in Hungary. In addition, they earn an average bonus of 354 657 Ft. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Miskolc, Hungary. An entry level data analytics engineer (1-3 years of experience) earns an average salary of 8 804 911 Ft. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of 14 106 617 Ft.
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17 010 630 Ft (HUF)
37 %
Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 37 % 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 Miskolc, Hungary is 5% less than the average cost of living in Hungary. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageMiskolc (UK: MEESH-kolts, US: MISH-kohlts; Hungarian: [ˈmiʃkolt͡s] ; Czech and Slovak: Miškovec; German: Mischkolz; Yiddish: Mishkoltz; Romanian: Mișcolț) is a city in northeastern Hungary, known for its heavy industry. With a population of 143,502 as of 2024, Miskolc is the fourth largest city in Hungary, behind Budapest, Debrecen, and Szeged. It is also the county capital of Borsod-Abaúj-Zemplén and the regional centre of Northern Hungary.
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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