As of 21 May 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median Cloud Engineer salary in Cumbria.
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Cumbria. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Cumbria with a recognized job title
2,052
453
182
% of permanent jobs with a recognized job title
97.44%
94.18%
99.45%
Number of salaries quoted
997
341
93
10th Percentile
£7,000
£26,250
£30,500
25th Percentile
£39,500
£35,000
£35,000
Median annual salary (50th Percentile)
£45,628
£42,500
£45,000
Median % change year-on-year
+7.36%
-5.56%
+28.57%
75th Percentile
£60,000
£53,750
£57,500
90th Percentile
£73,708
£70,000
£69,980
North West median annual salary
£50,055
£50,000
£55,000
% change year-on-year
+0.11%
-9.09%
+4.76%
Cloud Engineer Job Vacancy Trend in Cumbria
Job postings that featured Cloud Engineer in the job title as a proportion of all IT jobs advertised in Cumbria.
Cloud Engineer Job Locations in Cumbria
The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing Cloud Engineer within the Cumbria region over the 6 months to 21 May 2025.
The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.
Cloud Engineer Skill Set Top 28 Co-occurring Skills and Capabilities in Cumbria
For the 6 months to 21 May 2025, Cloud Engineer job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Cumbria region featuring Cloud Engineer in the job title.
Cloud Engineer Skill Set Co-occurring Skills and Capabilities in Cumbria by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
