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Azure Kubernetes Service Daily Rates in Germany

Compare the average daily rate of a freelance Azure Kubernetes Service expert with related technologies and cities in Germany, calculated live from the freelancers on FRATCH.

Azure Kubernetes Service daily rates across cities in Germany

Among the 3 cities compared, average daily rates range from:

719 € for Munich → 769 € for Frankfurt

Countrywide average:

782 € per day

Frankfurt 769 € · 720 € Berlin 725 € · 600 € Munich 719 € · 720 €
100 200 300 400 500 600 700 €/day

What the benchmark shows

Location shifts the picture as well: across the cities in Germany, average daily rates differ by up to 50 € — around 6% of the countrywide average. Dense metropolitan markets usually carry a premium over the national rate, smaller ones a discount; the chart below shows where each city lands.

Frequently asked questions

Need clarity? These are the questions we hear most often about Azure Kubernetes Service.

The average daily rate for Azure Kubernetes Service in Germany is 782 € with a median of 760 €, based on an 8-hour working day — that corresponds to an average of 98 € per hour.

Based on the average daily rate of 782 €, a full-time month of 21 working days corresponds to about 16,432 € — the underlying hourly rate is 98 €.

The average of 782 € sits about 22 € per day above the median of 760 € (98 € versus 95 € per hour): a smaller number of high-priced specialists pulls the average up, while the median marks the typical middle of the market — half of the freelancers charge less, half charge more.

Between Munich (719 €) and Frankfurt (769 €) the difference is about 50 € per day, roughly 6 € per hour — around 6% of the countrywide average of 782 €.

Frankfurt shows the highest average of the 3 cities compared, at 769 € per day (96 € per hour).

Munich shows the lowest average of the cities compared, at 719 € per day (90 € per hour) — about 8% below the countrywide average of 782 €.

All figures are calculated live from the hourly rates of the freelancers on FRATCH matched to Azure Kubernetes Service and its related technologies and locations; daily rates assume an 8-hour working day. The average is a weighted mean with outliers trimmed, the median is the middle value of the individual rates, and both refresh continuously as freelancer profiles change.

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Philipp Thomaschewski

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