Data Virtualization Engineer
197 238 zł (PLN)/yr
94,83 zł (PLN)/hr
8 521 zł (PLN)/yr
The average data virtualization engineer gross salary in Lódz, Poland is 197 238 zł or an equivalent hourly rate of 95 zł. This is 4% lower (-7 417 zł) than the average data virtualization engineer salary in Poland. In addition, they earn an average bonus of 8 521 zł. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Lódz, Poland. An entry level data virtualization engineer (1-3 years of experience) earns an average salary of 138 691 zł. On the other end, a senior level data virtualization engineer (8+ years of experience) earns an average salary of 224 138 zł.
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297 162 zł (PLN)
51 %
Based on our compensation data, the estimated salary potential for Data Virtualization Engineer will increase 51 % over 5 years.
This chart displays the highest level of education for:
Data Virtualization Engineer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
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The cost of living in Lódz, Poland is 8% less than the average cost of living in Poland. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageŁódź is a city in central Poland and a former industrial centre. It is the capital of Łódź Voivodeship, and is located 120 km (75 mi) south-west of Warsaw. As of 2024, Łódź has a population of 645,693, making it the country's fourth largest city. Łódź first appears in records in the 14th century. It was granted town rights in 1423 by the Polish King Władysław II Jagiełło and it remained a private town of the Kuyavian bishops and clergy until the late 18th century. In the Second Partition of Pola
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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