Engineer Data Analytics
13 605 568 Ft (HUF)/yr
6 541,14 Ft (HUF)/hr
389 119 Ft (HUF)/yr
The average engineer data analytics gross salary in Budapest, Hungary is 13 605 568 Ft or an equivalent hourly rate of 6 541 Ft. This is 4% higher (+522 549 Ft) than the average engineer data analytics salary in Hungary. In addition, they earn an average bonus of 389 119 Ft. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Budapest, Hungary. An entry level engineer data analytics (1-3 years of experience) earns an average salary of 9 660 493 Ft. On the other end, a senior level engineer data analytics (8+ years of experience) earns an average salary of 15 477 371 Ft.
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18 663 571 Ft (HUF)
37 %
Based on our compensation data, the estimated salary potential for Engineer Data Analytics will increase 37 % over 5 years.
This chart displays the highest level of education for:
Engineer Data Analytics, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryThe cost of living in Budapest, Hungary is 7% more 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 PageBudapest is the capital and most populous city of Hungary. It is Hungary's primate city with 1.7 million inhabitants and its greater metro area has a population of about 3.3 million, representing one-third of the country's population and producing above 40% of the country's economic output. Budapest is the political, economic, and cultural center of the country, among the ten largest cities in the European Union and the second largest urban area in Central and Eastern Europe. Budapest stands on
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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