The table below provides summary statistics and contractor rates for jobs advertised in Milton Keynes requiring PostgreSQL skills. It covers contract job vacancies from the 6 months leading up to 11 November 2025, with comparisons to the same periods in the previous two years.
PostgreSQL falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Milton Keynes.
Contract vacancies with a requirement for database or business intelligence skills
55
39
105
As % of all contract IT jobs advertised in Milton Keynes
19.30%
13.04%
18.42%
Number of daily rates quoted
46
25
78
10th Percentile
£307
£215
£321
25th Percentile
£326
£363
£400
Median daily rate (50th Percentile)
£425
£425
£480
Median % change year-on-year
-
-11.46%
+2.13%
75th Percentile
£488
£540
£593
90th Percentile
£550
£565
£665
Buckinghamshire median daily rate
£425
£438
£475
% change year-on-year
-2.86%
-7.89%
-2.56%
PostgreSQL Job Vacancy Trend in Milton Keynes
Historical trend showing the proportion of contract IT job postings citing PostgreSQL relative to all contract IT jobs advertised in Milton Keynes.
PostgreSQL Daily Rate Trend in Milton Keynes
Contractor daily rate distribution trend for jobs in Milton Keynes citing PostgreSQL.
PostgreSQL Hourly Rate Trend in Milton Keynes
Contractor hourly rate distribution trend for jobs in Milton Keynes citing PostgreSQL.
PostgreSQL Top 30 Co-Occurring Skills & Capabilities in Milton Keynes
For the 6 months to 11 November 2025, contractor job vacancies citing PostgreSQL also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Milton Keynes region with a requirement for PostgreSQL.
PostgreSQL Co-Occurring Skills & Capabilities in Milton Keynes 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:
