The table below provides summary statistics for permanent job vacancies advertised in Wakefield 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 2 May 2025, comparing them to the same period in the previous two years.
6 months to 2 May 2025
Same period 2024
Same period 2023
Rank
9
17
37
Rank change year-on-year
+8
+20
-17
Permanent jobs citing SQL Server
2
9
13
As % of all permanent jobs advertised in Wakefield
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 Wakefield.
Permanent vacancies with a requirement for database or business intelligence skills
2
14
54
As % of all permanent jobs advertised in Wakefield
4.76%
12.84%
19.71%
Number of salaries quoted
2
13
11
10th Percentile
-
£36,250
£37,500
25th Percentile
£51,500
£37,250
£41,250
Median annual salary (50th Percentile)
£53,000
£45,000
£43,000
Median % change year-on-year
+17.78%
+4.65%
-5.49%
75th Percentile
£54,500
£63,750
£48,500
90th Percentile
-
-
£57,500
West Yorkshire median annual salary
£58,619
£52,500
£54,988
% change year-on-year
+11.65%
-4.52%
+4.74%
SQL Server Job Vacancy Trend in Wakefield
Job postings citing SQL Server as a proportion of all IT jobs advertised in Wakefield.
SQL Server Salary Trend in Wakefield
3-month moving average salary quoted in jobs citing SQL Server in Wakefield.
SQL Server Top 20 Co-occurring Skills and Capabilities in Wakefield
For the 6 months to 2 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 Wakefield region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Wakefield 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:
