Internet of Things Engineer
206 307 zł (PLN)/yr
99,19 zł (PLN)/hr
7 592 zł (PLN)/yr
The average internet of things engineer gross salary in Gdansk, Poland is 206 307 zł or an equivalent hourly rate of 99 zł. This is 3% higher (+5 343 zł) than the average internet of things engineer salary in Poland. In addition, they earn an average bonus of 7 592 zł. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Gdansk, Poland. An entry level internet of things engineer (1-3 years of experience) earns an average salary of 146 328 zł. On the other end, a senior level internet of things engineer (8+ years of experience) earns an average salary of 255 496 zł.
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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.
301 341 zł (PLN)
46 %
Based on our compensation data, the estimated salary potential for Internet of Things Engineer will increase 46 % over 5 years.
Education data not available for this job
The cost of living in Gdansk, Poland is 2% 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 PageGdańsk is a city on the Baltic coast of northern Poland. With a population of 486,492, Gdańsk is the capital and largest city of the Pomeranian Voivodeship. It is Poland's principal seaport and the country's fourth-largest metropolitan area. The city lies at the southern edge of Gdańsk Bay, close to the city of Gdynia and resort town of Sopot; these form a metropolitan area called the Tricity (Trójmiasto), with a metropolitan (including rural localities) population of approximately 1.5 million. Gdańsk...
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
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.