Microsoft Azure SQL Database (formerly SQL Azure) East Sussex> Brighton
The table below provides summary statistics for permanent job vacancies advertised in Brighton 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 4 July 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 Brighton.
Permanent vacancies with a requirement for database or business intelligence skills
32
140
168
As % of all permanent jobs advertised in Brighton
17.02%
26.92%
25.69%
Number of salaries quoted
25
130
142
10th Percentile
£41,250
£31,250
£40,125
25th Percentile
£52,500
£47,813
£49,500
Median annual salary (50th Percentile)
£57,500
£55,000
£55,000
Median % change year-on-year
+4.55%
-
-4.35%
75th Percentile
£61,250
£72,500
£61,250
90th Percentile
£77,250
£95,000
£75,000
East Sussex median annual salary
£47,500
£53,100
£55,000
% change year-on-year
-10.55%
-3.45%
-4.04%
Azure SQL Database Job Vacancy Trend in Brighton
Job postings citing Azure SQL Database as a proportion of all IT jobs advertised in Brighton.
Azure SQL Database Salary Trend in Brighton
3-month moving average salary quoted in jobs citing Azure SQL Database in Brighton.
Azure SQL Database Top 18 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 4 July 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 Brighton region with a requirement for Azure SQL Database.
Azure SQL Database Co-occurring Skills and Capabilities in Brighton 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:
