Microsoft SQL Server (MS SQL)
Leicestershire > Market Harborough
The table below provides summary statistics and salary benchmarking for jobs advertised in Market Harborough requiring SQL Server skills. It covers permanent job vacancies from the 6 months leading up to 2 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
2 Aug 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
4 |
4 |
13 |
| Rank change year-on-year |
0 |
+9 |
- |
| Permanent jobs citing SQL Server |
2 |
2 |
2 |
| As % of all permanent jobs in Market Harborough |
14.29% |
25.00% |
5.13% |
| As % of the Database & Business Intelligence category |
100.00% |
100.00% |
16.67% |
| Number of salaries quoted |
2 |
0 |
0 |
| Median annual salary (50th Percentile) |
£50,000 |
- |
- |
| Leicestershire median annual salary |
£42,500 |
£48,500 |
£45,000 |
| % change year-on-year |
-12.37% |
+7.78% |
-21.74% |
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 Market Harborough.
| Permanent vacancies with a requirement for database or business intelligence skills |
2 |
2 |
12 |
| As % of all permanent jobs advertised in Market Harborough |
14.29% |
25.00% |
30.77% |
| Number of salaries quoted |
2 |
0 |
0 |
| Median annual salary (50th Percentile) |
£50,000 |
- |
- |
| Leicestershire median annual salary |
£42,500 |
£48,500 |
£46,250 |
| % change year-on-year |
-12.37% |
+4.86% |
-15.91% |
SQL Server
Job Vacancy Trend in Market Harborough
Historical trend showing the proportion of permanent IT job postings citing SQL Server relative to all permanent IT jobs advertised in Market Harborough.
SQL Server
Salary Trend in Market Harborough
Salary distribution trend for jobs in Market Harborough citing SQL Server.
SQL Server
Co-Occurring Skills & Capabilities in Market Harborough by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
