The table below provides summary statistics and salary benchmarking for jobs advertised in Northampton requiring PostgreSQL skills. It covers vacancies from the 6 months leading up to 26 September 2025, with comparisons to the same periods in the previous two years.
6 months to 26 Sep 2025
Same period 2024
Same period 2023
Rank
35
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing PostgreSQL
1
0
0
As % of all permanent jobs advertised in Northampton
PostgreSQL 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 Northampton.
Permanent vacancies with a requirement for database or business intelligence skills
15
33
43
As % of all permanent jobs advertised in Northampton
7.50%
7.21%
21.50%
Number of salaries quoted
10
19
31
10th Percentile
£45,375
£28,050
£33,750
25th Percentile
£49,375
£28,500
£41,875
Median annual salary (50th Percentile)
£56,250
£47,500
£57,500
Median % change year-on-year
+18.42%
-17.39%
+19.17%
75th Percentile
£73,438
£52,500
£71,250
90th Percentile
£82,625
£55,500
£87,500
Northamptonshire median annual salary
£53,500
£47,750
£57,500
% change year-on-year
+12.04%
-16.96%
+15.00%
PostgreSQL Job Vacancy Trend in Northampton
Job postings citing PostgreSQL as a proportion of all IT jobs advertised in Northampton.
PostgreSQL Salary Trend in Northampton
Salary distribution trend for jobs in Northampton citing PostgreSQL.
PostgreSQL Top 17 Co-occurring Skills and Capabilities in Northampton
For the 6 months to 26 September 2025, job vacancies citing PostgreSQL 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 Northampton region with a requirement for PostgreSQL.
PostgreSQL Co-occurring Skills and Capabilities in Northampton 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:
