The table below provides summary statistics for permanent job vacancies advertised in Weybridge 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
12
7
22
Rank change year-on-year
-5
+15
-3
Permanent jobs citing SQL Server
1
11
1
As % of all permanent jobs advertised in Weybridge
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 Weybridge.
Permanent vacancies with a requirement for database or business intelligence skills
3
17
23
As % of all permanent jobs advertised in Weybridge
9.68%
28.81%
26.44%
Number of salaries quoted
2
17
23
10th Percentile
£44,375
£52,000
£41,250
25th Percentile
£47,188
£55,000
£44,375
Median annual salary (50th Percentile)
£53,750
£75,000
£65,000
Median % change year-on-year
-28.33%
+15.38%
+18.18%
75th Percentile
£59,688
£83,750
£67,500
90th Percentile
£62,125
£89,500
-
Surrey median annual salary
£57,500
£55,000
£55,000
% change year-on-year
+4.55%
-
-4.35%
SQL Server Job Vacancy Trend in Weybridge
Job postings citing SQL Server as a proportion of all IT jobs advertised in Weybridge.
SQL Server Salary Trend in Weybridge
3-month moving average salary quoted in jobs citing SQL Server in Weybridge.
SQL Server Top 17 Co-occurring Skills and Capabilities in Weybridge
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 Weybridge region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Weybridge 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:
