Microsoft Azure SQL Database (formerly SQL Azure) Wiltshire> Swindon
The following table provides summary statistics for permanent job vacancies advertised in Swindon 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 26 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 Swindon with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
74
40
228
As % of all permanent jobs advertised in Swindon
16.41%
9.66%
38.32%
Number of salaries quoted
68
37
113
10th Percentile
£27,500
£39,200
£36,346
25th Percentile
£40,226
£42,500
£43,750
Median annual salary (50th Percentile)
£50,000
£70,000
£57,500
Median % change year-on-year
-28.57%
+21.74%
+15.00%
75th Percentile
£70,000
£75,000
£81,250
90th Percentile
£71,250
£77,500
£93,000
Wiltshire median annual salary
£51,000
£55,000
£52,500
% change year-on-year
-7.27%
+4.76%
+5.53%
Azure SQL Database Job Vacancy Trend in Swindon
Job postings citing Azure SQL Database as a proportion of all IT jobs advertised in Swindon.
Azure SQL Database Salary Trend in Swindon
3-month moving average salary quoted in jobs citing Azure SQL Database in Swindon.
Azure SQL Database Top 17 Co-occurring Skills and Capabilities in Swindon
For the 6 months to 26 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 Swindon region with a requirement for Azure SQL Database.
Azure SQL Database Co-occurring Skills and Capabilities in Swindon 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: