Data Analytics Engineer

€ 71 036 (EUR)/yr

€ 34,15 (EUR)/hr

€ 2 032 (EUR)/yr

The average data analytics engineer gross salary in Dornbirn, Austria is € 71 036 or an equivalent hourly rate of € 34. This is 1% lower (-€ 684) than the average data analytics engineer salary in Austria. In addition, they earn an average bonus of € 2 032. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Dornbirn, Austria. An entry level data analytics engineer (1-3 years of experience) earns an average salary of € 50 341. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of € 80 190.

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Salary Potential

€ 82 335 (EUR)

16 %

Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 16 % over 5 years.

Education

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

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City Overview

Dornbirn, Austria

The cost of living in Dornbirn, Austria is 0% more than the average cost of living in Austria. 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

Dornbirn (Austrian German pronunciation: [ˈdɔrnbɪrn] ) is a city in the westernmost Austrian state of Vorarlberg. It is the administrative centre for the district of Dornbirn, which also includes the town of Hohenems, and the market town Lustenau. Dornbirn is the largest city in Vorarlberg and the tenth largest city in Austria. It is an important commercial and shopping centre.

Sourced from Wikipedia
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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
Develops the data extraction and preparation processes. Runs data quality audits and identifies issues with data collection. Implements improvements and fixes to data collection processes. Oversees SQL databases that can be large and complex.
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