Data Analytics Engineer
79.247 € (EUR)/yr
38,10 € (EUR)/hr
2.266 € (EUR)/yr
The average data analytics engineer gross salary in Bad Kreuznach, Germany is 79.247 € or an equivalent hourly rate of 38 €. This is 5% lower (-4.389 €) than the average data analytics engineer salary in Germany. In addition, they earn an average bonus of 2.266 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Bad Kreuznach, Germany. An entry level data analytics engineer (1-3 years of experience) earns an average salary of 56.192 €. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of 89.558 €.
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90.312 € (EUR)
14 %
Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 14 % 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 Bad Kreuznach, Germany is 4% more than the average cost of living in Germany. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageBad Kreuznach (German pronunciation: [baːt ˈkʁɔʏtsnax] ) is a town in the Bad Kreuznach district in Rhineland-Palatinate, Germany. It is a spa town, known for its mediaeval bridge dating from around 1300, the Alte Nahebrücke, which is one of the few remaining bridges in the world with buildings on it. The town is located in the Nahe River wine region, renowned both nationally and internationally for its wines, especially from the Riesling, Silvaner and Müller-Thurgau grape varieties. Bad Kreuzn
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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