Data Engineer
16 105 386 Ft (HUF)/yr
7 742,97 Ft (HUF)/hr
695 753 Ft (HUF)/yr
The average data engineer gross salary in Budapest, Hungary is 16 105 386 Ft or an equivalent hourly rate of 7 743 Ft. This is 4% higher (+617 906 Ft) than the average data engineer salary in Hungary. In addition, they earn an average bonus of 695 753 Ft. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Budapest, Hungary. An entry level data engineer (1-3 years of experience) earns an average salary of 11 337 023 Ft. On the other end, a senior level data engineer (8+ years of experience) earns an average salary of 18 367 158 Ft.
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22 082 354 Ft (HUF)
37 %
Based on our compensation data, the estimated salary potential for Data Engineer will increase 37 % 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 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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