Microsoft Azure SQL Database (formerly SQL Azure) North East> Durham
The following table provides summary statistics for permanent job vacancies advertised in Durham with a requirement for Azure SQL Database skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Azure SQL Database over the 6 months to 24 April 2024 with a comparison to the same period in the previous 2 years.
Azure SQL Database is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Durham with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
85
58
43
As % of all permanent jobs advertised in Durham
20.33%
18.53%
16.48%
Number of salaries quoted
65
27
39
10th Percentile
£29,450
£36,332
£19,000
25th Percentile
£31,250
£40,000
£32,625
Median annual salary (50th Percentile)
£42,500
£40,500
£35,000
Median % change year-on-year
+4.94%
+15.71%
-12.50%
75th Percentile
£60,000
£47,500
£43,250
90th Percentile
£62,500
£57,736
£50,100
North East median annual salary
£50,000
£49,779
£40,000
% change year-on-year
+0.44%
+24.45%
-11.11%
Azure SQL Database Job Vacancy Trend in Durham
Job postings citing Azure SQL Database as a proportion of all IT jobs advertised in Durham.
Azure SQL Database Salary Trend in Durham
3-month moving average salary quoted in jobs citing Azure SQL Database in Durham.
Azure SQL Database Top 17 Co-occurring Skills and Capabilities in Durham
For the 6 months to 24 April 2024, 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 Durham region with a requirement for Azure SQL Database.
Azure SQL Database Co-occurring Skills and Capabilities in Durham 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:
