Developer Algorithm

737.291 kr (SEK)/yr

354,47 kr (SEK)/hr

32.957 kr (SEK)/yr

The average developer algorithm gross salary in Lidingo, Sweden is 737.291 kr or an equivalent hourly rate of 354 kr. This is 1% lower (-7.450 kr) than the average developer algorithm salary in Sweden. In addition, they earn an average bonus of 32.957 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Lidingo, Sweden. An entry level developer algorithm (1-3 years of experience) earns an average salary of 514.994 kr. On the other end, a senior level developer algorithm (8+ years of experience) earns an average salary of 832.060 kr.

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Salary Potential

823.913 kr (SEK)

12 %

Based on our compensation data, the estimated salary potential for Developer Algorithm will increase 12 % over 5 years.

Education

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

Typical Field of Study: Computer Programming, Specific Applications

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City Overview

Lidingo, Sweden

The cost of living in Lidingo, Sweden is 17% more than the average cost of living in Sweden. 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

Lidingö (Swedish pronunciation: [ˈlîːdɪŋˌøː]), also known in its definite form Lidingön and as Lidingölandet, is an island in the inner Stockholm archipelago, northeast of Stockholm, Sweden. In 2023, the population of the Lidingö urban area on the island was 48,162. It is the seat of government of the Lidingö Municipality, Stockholm County. Lidingö's qualities have attracted affluent residents such as Björn Ulvaeus, Agnetha Fältskog, Anni-Frid Lyngstad and Benny Andersson of ABBA. Exclusive regi

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Disclaimer
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, develops and implements new algorithms and tools. Conducts routine and non-routine testing on existing algorithms to identify bugs and areas for optimization. Documents algorithm implementation, user requirements and specifications.
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