Developer Algorithm

14 431 953 Ft (HUF)/yr

6 938,44 Ft (HUF)/hr

645 108 Ft (HUF)/yr

The average developer algorithm gross salary in Miskolc, Hungary is 14 431 953 Ft or an equivalent hourly rate of 6 938 Ft. This is 5% lower (-791 538 Ft) than the average developer algorithm salary in Hungary. In addition, they earn an average bonus of 645 108 Ft. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Miskolc, Hungary. An entry level developer algorithm (1-3 years of experience) earns an average salary of 10 100 240 Ft. On the other end, a senior level developer algorithm (8+ years of experience) earns an average salary of 16 414 298 Ft.

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Salary Potential

19 797 173 Ft (HUF)

37 %

Based on our compensation data, the estimated salary potential for Developer Algorithm will increase 37 % over 5 years.

Education

This chart displays the highest level of education for:
Developer Algorithm, the majority at 100% with bachelors.

Typical Field of Study: Computer Programming, Specific Applications

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City Overview

Miskolc, Hungary

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 Page

Miskolc (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.

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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI'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.

Job Description
Designs, develops and implements new algorithms and tools. Conducts routine and non-routine testing on existing algorithms to identify bugs and areas for optimization. Documents algorithm implementation, user requirements and specifications.
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