The table below provides summary statistics for permanent job vacancies advertised in South Kensington requiring SQL Server skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SQL Server over the 6 months leading up to 16 July 2025, comparing them to the same period in the previous two years.
6 months to 16 Jul 2025
Same period 2024
Same period 2023
Rank
1
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing SQL Server
1
0
0
As % of all permanent jobs advertised in South Kensington
SQL Server 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 South Kensington.
Permanent vacancies with a requirement for database or business intelligence skills
1
0
0
As % of all permanent jobs advertised in South Kensington
100.00%
-
-
Number of salaries quoted
1
0
0
10th Percentile
-
-
-
25th Percentile
£88,750
-
-
Median annual salary (50th Percentile)
£92,500
-
-
75th Percentile
£96,250
-
-
90th Percentile
-
-
-
Kensington and Chelsea median annual salary
£92,500
£87,500
£80,000
% change year-on-year
+5.71%
+9.38%
+23.08%
SQL Server Job Vacancy Trend in South Kensington
Job postings citing SQL Server as a proportion of all IT jobs advertised in South Kensington.
SQL Server Salary Trend in South Kensington
3-month moving average salary quoted in jobs citing SQL Server in South Kensington.
SQL Server Top 17 Co-occurring Skills and Capabilities in South Kensington
For the 6 months to 16 July 2025, job vacancies citing SQL Server 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 South Kensington region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in South Kensington 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:
