The table below provides summary statistics for permanent job vacancies advertised in Liverpool requiring PostgreSQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited PostgreSQL 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
41
36
90
Rank change year-on-year
-5
+54
-36
Permanent jobs citing PostgreSQL
1
53
6
As % of all permanent jobs advertised in Liverpool
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 Liverpool.
Permanent vacancies with a requirement for database or business intelligence skills
56
221
166
As % of all permanent jobs advertised in Liverpool
20.82%
20.81%
17.55%
Number of salaries quoted
53
148
83
10th Percentile
-
£31,250
£29,850
25th Percentile
£31,250
£36,250
£37,828
Median annual salary (50th Percentile)
£40,000
£52,500
£52,500
Median % change year-on-year
-23.81%
-
+12.85%
75th Percentile
£57,500
£77,500
£70,000
90th Percentile
£63,249
£90,000
£71,250
Merseyside median annual salary
£45,000
£48,500
£50,000
% change year-on-year
-7.22%
-3.00%
-
PostgreSQL Job Vacancy Trend in Liverpool
Job postings citing PostgreSQL as a proportion of all IT jobs advertised in Liverpool.
PostgreSQL Salary Trend in Liverpool
3-month moving average salary quoted in jobs citing PostgreSQL in Liverpool.
PostgreSQL Top 25 Co-occurring Skills and Capabilities in Liverpool
For the 6 months to 1 May 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 Liverpool region with a requirement for PostgreSQL.
PostgreSQL Co-occurring Skills and Capabilities in Liverpool 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:
