The table below provides summary statistics for permanent job vacancies advertised in Shepton Mallet requiring SQLite skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SQLite over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.
6 months to 1 May 2025
Same period 2024
Same period 2023
Rank
4
6
6
Rank change year-on-year
+2
0
-
Permanent jobs citing SQLite
1
6
1
As % of all permanent jobs advertised in Shepton Mallet
SQLite 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 Shepton Mallet.
Permanent vacancies with a requirement for database or business intelligence skills
1
6
1
As % of all permanent jobs advertised in Shepton Mallet
20.00%
20.69%
14.29%
Number of salaries quoted
1
3
1
10th Percentile
-
£47,000
-
25th Percentile
£61,250
£48,125
£45,000
Median annual salary (50th Percentile)
£62,500
£50,000
£50,000
Median % change year-on-year
+25.00%
-
-4.76%
75th Percentile
£63,750
£54,375
£55,000
90th Percentile
-
£57,000
-
Somerset median annual salary
£40,000
£47,500
£43,889
% change year-on-year
-15.79%
+8.23%
-7.60%
SQLite Job Vacancy Trend in Shepton Mallet
Job postings citing SQLite as a proportion of all IT jobs advertised in Shepton Mallet.
SQLite Salary Trend in Shepton Mallet
3-month moving average salary quoted in jobs citing SQLite in Shepton Mallet.
SQLite Top 30 Co-occurring Skills and Capabilities in Shepton Mallet
For the 6 months to 1 May 2025, job vacancies citing SQLite 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 Shepton Mallet region with a requirement for SQLite.
SQLite Co-occurring Skills and Capabilities in Shepton Mallet 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:
