PostgreSQL Job Trends in Liverpool

PostgreSQL (Postgres)
Merseyside > Liverpool

The table below provides summary statistics and salary benchmarking for jobs advertised in Liverpool requiring PostgreSQL skills. It covers permanent job vacancies from the 6 months leading up to 19 December 2025, with comparisons to the same periods in the previous two years.

6 months to
19 Dec 2025
Same period 2024 Same period 2023
Rank - 51 46
Rank change year-on-year - -5 +27
Permanent jobs citing PostgreSQL 0 1 1
As % of all permanent jobs in Liverpool - 0.24% 0.28%
As % of the Database & Business Intelligence category - 1.49% 1.72%
Number of salaries quoted 0 1 0
Median annual salary (50th Percentile) - £31,000 -
Merseyside median annual salary - £31,000 -

All Database and Business Intelligence Skills
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 58 67 58
As % of all permanent jobs advertised in Liverpool 11.84% 16.38% 16.16%
Number of salaries quoted 44 53 40
10th Percentile £35,000 - £32,488
25th Percentile £39,125 £31,250 £39,688
Median annual salary (50th Percentile) £51,750 £32,500 £62,500
Median % change year-on-year +59.23% -48.00% +21.95%
75th Percentile £62,500 £50,000 £77,500
90th Percentile £81,250 £63,250 £79,250
Merseyside median annual salary £50,750 £33,000 £62,500
% change year-on-year +53.79% -47.20% +31.58%

PostgreSQL
Job Vacancy Trend in Liverpool

Historical trend showing the proportion of permanent IT job postings citing PostgreSQL relative to all permanent IT jobs advertised in Liverpool.

PostgreSQL job vacancy trend in Liverpool

PostgreSQL
Salary Trend in Liverpool

Salary distribution trend for jobs in Liverpool citing PostgreSQL.

Salary distribution trend for jobs in Liverpool citing PostgreSQL