Microsoft Azure SQL Database (formerly SQL Azure) Essex> Chelmsford
The table below provides summary statistics and salary benchmarking for jobs advertised in Chelmsford requiring Azure SQL Database skills. It covers permanent job vacancies from the 6 months leading up to 6 December 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 Chelmsford.
Permanent vacancies with a requirement for database or business intelligence skills
14
17
3
As % of all permanent jobs advertised in Chelmsford
8.97%
19.10%
3.16%
Number of salaries quoted
14
5
3
10th Percentile
£51,250
£39,300
£34,000
25th Percentile
£53,750
£39,750
£36,250
Median annual salary (50th Percentile)
£61,250
£52,500
£40,000
Median % change year-on-year
+16.67%
+31.25%
-27.27%
75th Percentile
£79,000
£72,500
£45,000
90th Percentile
-
-
£48,000
Essex median annual salary
£45,000
£55,000
£48,750
% change year-on-year
-18.18%
+12.82%
-7.14%
Azure SQL Database Job Vacancy Trend in Chelmsford
Historical trend showing the proportion of permanent IT job postings citing Azure SQL Database relative to all permanent IT jobs advertised in Chelmsford.
Azure SQL Database Salary Trend in Chelmsford
Salary distribution trend for jobs in Chelmsford citing Azure SQL Database.
Azure SQL Database Top 18 Co-Occurring Skills & Capabilities in Chelmsford
For the 6 months to 6 December 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 Chelmsford region with a requirement for Azure SQL Database.
Azure SQL Database Co-Occurring Skills & Capabilities in Chelmsford 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:
