Microsoft Azure SQL Database (formerly SQL Azure) West Yorkshire> Leeds
The table below provides summary statistics for permanent job vacancies advertised in Leeds 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 17 August 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 Leeds.
Permanent vacancies with a requirement for database or business intelligence skills
142
262
446
As % of all permanent jobs advertised in Leeds
13.77%
13.21%
19.42%
Number of salaries quoted
120
173
320
10th Percentile
£43,625
£36,250
£40,000
25th Percentile
£51,250
£42,500
£47,500
Median annual salary (50th Percentile)
£60,000
£52,500
£55,000
Median % change year-on-year
+14.29%
-4.55%
-
75th Percentile
£75,000
£68,750
£72,500
90th Percentile
£90,000
£82,250
£84,056
West Yorkshire median annual salary
£60,000
£52,500
£55,000
% change year-on-year
+14.29%
-4.55%
-
Azure SQL Database Job Vacancy Trend in Leeds
Job postings citing Azure SQL Database as a proportion of all IT jobs advertised in Leeds.
Azure SQL Database Salary Trend in Leeds
3-month moving average salary quoted in jobs citing Azure SQL Database in Leeds.
Azure SQL Database Top 10 Co-occurring Skills and Capabilities in Leeds
For the 6 months to 17 August 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 Leeds region with a requirement for Azure SQL Database.
Azure SQL Database Co-occurring Skills and Capabilities in Leeds 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:
