Microsoft Azure SQL Database (formerly SQL Azure) West Wales> Swansea
The table below provides summary statistics for permanent job vacancies advertised in Swansea requiring Azure SQL Database skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Azure SQL Database over the 6 months leading up to 3 May 2025, comparing them to the same period in the previous two years.
Azure SQL Database falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Swansea.
Permanent vacancies with a requirement for database or business intelligence skills
3
22
36
As % of all permanent jobs advertised in Swansea
5.17%
13.33%
15.52%
Number of salaries quoted
3
18
31
10th Percentile
£34,547
£30,875
£26,250
25th Percentile
£35,742
£32,463
£34,625
Median annual salary (50th Percentile)
£37,733
£44,316
£40,000
Median % change year-on-year
-14.85%
+10.79%
+14.29%
75th Percentile
£47,251
£55,500
£51,500
90th Percentile
£50,852
£65,000
£52,500
West Wales median annual salary
£37,733
£46,131
£40,000
% change year-on-year
-18.20%
+15.33%
+14.29%
Azure SQL Database Job Vacancy Trend in Swansea
Job postings citing Azure SQL Database as a proportion of all IT jobs advertised in Swansea.
Azure SQL Database Salary Trend in Swansea
3-month moving average salary quoted in jobs citing Azure SQL Database in Swansea.
Azure SQL Database Top 24 Co-occurring Skills and Capabilities in Swansea
For the 6 months to 3 May 2025, job vacancies citing Azure SQL Database 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 Swansea region with a requirement for Azure SQL Database.
Azure SQL Database Co-occurring Skills and Capabilities in Swansea 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:
