Big Data Developer

kr 972 639 (NOK)/yr

kr 467,61 (NOK)/hr

kr 39 586 (NOK)/yr

The average big data developer gross salary in Drammen, Norway is kr 972 639 or an equivalent hourly rate of kr 468. This is 1% lower (-kr 12 742) than the average big data developer salary in Norway. In addition, they earn an average bonus of kr 39 586. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Drammen, Norway. An entry level big data developer (1-3 years of experience) earns an average salary of kr 684 724. On the other end, a senior level big data developer (8+ years of experience) earns an average salary of kr 1 100 103.

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Salary Potential

kr 1 111 326 (NOK)

14 %

Based on our compensation data, the estimated salary potential for Big Data Developer will increase 14 % over 5 years.

Education

This chart displays the highest level of education for:
Big Data Developer, the majority at 100% with bachelors.

Typical Field of Study: Computer Programming, Specific Applications

See how education can impact your salary
City Overview

Drammen, Norway

The cost of living in Drammen, Norway is 0% more than the average cost of living in Norway. 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

Drammen (Norwegian pronunciation: [ˈdrɑ̀mːən] ) is a city and municipality in Buskerud county, Norway. The port and river city of Drammen is centrally located in the south-eastern and most populated part of Norway. Drammen municipality also includes smaller towns and villages such as Konnerud, Svelvik, Mjøndalen and Skoger.

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
Designs and implements data processing and machine learning processes. Develops new systems and tools to enable customers to interpret data faster. Identifies patterns in data and translates them into algorithms.
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