Microsoft Azure SQL Database (formerly SQL Azure) East Sussex> Brighton
The table below provides summary statistics and salary benchmarking for jobs advertised in Brighton requiring Azure SQL Database skills. It covers permanent job vacancies from the 6 months leading up to 22 November 2025, with comparisons to the same periods 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
28
119
126
As % of all permanent jobs advertised in Brighton
12.84%
29.10%
32.06%
Number of salaries quoted
27
80
118
10th Percentile
-
£31,250
£33,750
25th Percentile
£30,000
£47,500
£47,494
Median annual salary (50th Percentile)
£55,000
£60,000
£55,000
Median % change year-on-year
-8.33%
+9.09%
-3.51%
75th Percentile
£74,375
£86,250
£62,500
90th Percentile
£87,500
£95,000
£80,000
East Sussex median annual salary
£43,500
£58,500
£55,000
% change year-on-year
-25.64%
+6.36%
-3.78%
Azure SQL Database Job Vacancy Trend in Brighton
Historical trend showing the proportion of permanent IT job postings citing Azure SQL Database relative to all permanent IT jobs advertised in Brighton.
Azure SQL Database Salary Trend in Brighton
Salary distribution trend for jobs in Brighton citing Azure SQL Database.
Azure SQL Database Top 27 Co-Occurring Skills & Capabilities in Brighton
For the 6 months to 22 November 2025, job vacancies citing Azure SQL Database also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of 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 & Capabilities in Brighton by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
