Data Analytics Engineer
239 098 zł (PLN)/yr
114,95 zł (PLN)/hr
6 838 zł (PLN)/yr
The average data analytics engineer gross salary in Warsaw, Poland is 239 098 zł or an equivalent hourly rate of 115 zł. This is 12% higher (+26 254 zł) than the average data analytics engineer salary in Poland. In addition, they earn an average bonus of 6 838 zł. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Warsaw, Poland. An entry level data analytics engineer (1-3 years of experience) earns an average salary of 169 586 zł. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of 271 394 zł.
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360 728 zł (PLN)
51 %
Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 51 % over 5 years.
This chart displays the highest level of education for:
Data Analytics Engineer, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salary- SQL Certification
- Pega Certified Data Scientist (PCDS)
The cost of living in Warsaw, Poland is 10% more 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 PageWarsaw, officially the Capital City of Warsaw, is the capital and largest city of Poland. The metropolis stands on the River Vistula in east-central Poland. Its population is officially estimated at 1.86 million residents within a greater metropolitan area of 3.27 million residents, which makes Warsaw the 6th most-populous city in the European Union. The city area measures 517 square kilometres (200 square miles) and comprises 18 districts, while the metropolitan area covers 6,100 square kilomet
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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