The table below provides summary statistics for permanent job vacancies advertised in Kettering 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 6 May 2025, comparing them to the same period in the previous two years.
6 months to 6 May 2025
Same period 2024
Same period 2023
Rank
2
15
8
Rank change year-on-year
+13
-7
+5
Permanent jobs citing SQL Server
1
2
4
As % of all permanent jobs advertised in Kettering
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 Kettering.
Permanent vacancies with a requirement for database or business intelligence skills
1
9
4
As % of all permanent jobs advertised in Kettering
50.00%
13.24%
13.79%
Number of salaries quoted
0
3
4
10th Percentile
-
£20,000
£20,700
25th Percentile
-
£20,375
£21,375
Median annual salary (50th Percentile)
-
£22,000
£23,500
Median % change year-on-year
-
-6.38%
-55.24%
75th Percentile
-
£27,750
£25,813
90th Percentile
-
£30,450
£26,825
Northamptonshire median annual salary
£51,250
£46,250
£53,750
% change year-on-year
+10.81%
-13.95%
+7.50%
SQL Server Job Vacancy Trend in Kettering
Job postings citing SQL Server as a proportion of all IT jobs advertised in Kettering.
SQL Server Salary Trend in Kettering
3-month moving average salary quoted in jobs citing SQL Server in Kettering.
SQL Server Top 30 Co-occurring Skills and Capabilities in Kettering
For the 6 months to 6 May 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 Kettering region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Kettering 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:
