The table below provides summary statistics for permanent job vacancies advertised in Sunderland requiring AWS skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited AWS over the 6 months leading up to 30 May 2025, comparing them to the same period in the previous two years.
6 months to 30 May 2025
Same period 2024
Same period 2023
Rank
15
4
15
Rank change year-on-year
-11
+11
-4
Permanent jobs citing AWS
4
47
3
As % of all permanent jobs advertised in Sunderland
AWS falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Sunderland.
Permanent vacancies with a requirement for cloud computing skills
17
101
12
As % of all permanent jobs advertised in Sunderland
30.91%
59.06%
16.67%
Number of salaries quoted
14
89
7
10th Percentile
-
£41,035
£34,100
25th Percentile
£32,500
£50,000
£38,750
Median annual salary (50th Percentile)
£51,125
£60,000
£42,500
Median % change year-on-year
-14.79%
+41.18%
-
75th Percentile
£62,188
£73,250
£69,750
90th Percentile
£75,500
£82,500
£72,000
Tyne and Wear median annual salary
£55,000
£50,000
£55,000
% change year-on-year
+10.00%
-9.09%
+4.76%
AWS Job Vacancy Trend in Sunderland
Job postings citing AWS as a proportion of all IT jobs advertised in Sunderland.
AWS Salary Trend in Sunderland
3-month moving average salary quoted in jobs citing AWS in Sunderland.
AWS Salary Histogram in Sunderland
Salary distribution for jobs citing AWS in Sunderland over the 6 months to 30 May 2025.
AWS Top 9 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 30 May 2025, job vacancies citing AWS also mentioned 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 Sunderland region with a requirement for AWS.
AWS Co-occurring Skills and Capabilities in Sunderland 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:
