Amazon Simple Storage Service (S3) Tyne and Wear> Sunderland
The table below provides summary statistics for permanent job vacancies advertised in Sunderland requiring Amazon S3 skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Amazon S3 over the 6 months leading up to 16 May 2025, comparing them to the same period in the previous two years.
6 months to 16 May 2025
Same period 2024
Same period 2023
Rank
15
26
-
Rank change year-on-year
+11
-
-
Permanent jobs citing Amazon S3
1
17
0
As % of all permanent jobs advertised in Sunderland
Amazon S3 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
13
97
7
As % of all permanent jobs advertised in Sunderland
27.08%
59.15%
10.45%
Number of salaries quoted
10
85
6
10th Percentile
-
£40,606
£30,125
25th Percentile
£32,500
£50,000
£32,813
Median annual salary (50th Percentile)
£52,500
£60,000
£40,000
Median % change year-on-year
-12.50%
+50.00%
+2.56%
75th Percentile
£74,375
£73,250
£43,438
90th Percentile
£80,000
£82,500
£57,875
Tyne and Wear median annual salary
£55,000
£50,000
£55,000
% change year-on-year
+10.00%
-9.09%
+4.76%
Amazon S3 Job Vacancy Trend in Sunderland
Job postings citing Amazon S3 as a proportion of all IT jobs advertised in Sunderland.
Amazon S3 Salary Trend in Sunderland
3-month moving average salary quoted in jobs citing Amazon S3 in Sunderland.
Amazon S3 Top 23 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 16 May 2025, job vacancies citing Amazon S3 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 Amazon S3.
Amazon S3 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:
