The table below provides summary statistics for permanent job vacancies advertised in Staines 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 18 June 2025, comparing them to the same period in the previous two years.
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 Staines.
Permanent vacancies with a requirement for database or business intelligence skills
6
15
7
As % of all permanent jobs advertised in Staines
13.95%
31.91%
14.29%
Number of salaries quoted
4
15
4
10th Percentile
£42,482
£31,250
-
25th Percentile
£47,705
£38,750
£51,250
Median annual salary (50th Percentile)
£56,356
£60,000
£52,500
Median % change year-on-year
-6.07%
+14.29%
-7.08%
75th Percentile
£65,000
£65,000
£65,313
90th Percentile
£69,500
-
£86,125
Surrey median annual salary
£55,790
£55,000
£58,000
% change year-on-year
+1.44%
-5.17%
+0.87%
SQL Server Job Vacancy Trend in Staines
Job postings citing SQL Server as a proportion of all IT jobs advertised in Staines.
SQL Server Salary Trend in Staines
3-month moving average salary quoted in jobs citing SQL Server in Staines.
SQL Server Salary Histogram in Staines
Salary distribution for jobs citing SQL Server in Staines over the 6 months to 18 June 2025.
SQL Server Top 30 Co-occurring Skills and Capabilities in Staines
For the 6 months to 18 June 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 Staines region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Staines 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:
