For comparison with the information above, the following table provides summary statistics for all contract IT job vacancies in Liverpool. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of contract jobs in our overall sample.
Contract vacancies in Liverpool with a recognized job title
174
178
152
% of contract IT jobs with a recognized job title
94.57%
93.19%
89.94%
Number of daily rates quoted
91
77
79
10th Percentile
£158
£150
£210
25th Percentile
£193
£188
£273
Median daily rate (50th Percentile)
£425
£438
£413
Median % change year-on-year
-2.86%
+6.06%
-10.81%
75th Percentile
£518
£575
£525
90th Percentile
£650
£606
£600
Merseyside median daily rate
£385
£413
£413
% change year-on-year
-6.67%
-
-10.81%
Number of hourly rates quoted
16
17
14
10th Percentile
-
£15.99
£12.28
25th Percentile
£12.21
£17.44
£16.25
Median hourly rate
£15.18
£18.13
£19.50
Median % change year-on-year
-16.27%
-7.03%
+93.26%
75th Percentile
£51.02
£23.53
£27.13
90th Percentile
-
£28.91
£44.00
Merseyside median hourly rate
£18.67
£18.13
£19.00
% change year-on-year
+2.98%
-4.58%
+19.31%
Python Developer Job Vacancy Trend in Liverpool
Historical trend showing the proportion of contract IT job postings featuring 'Python Developer' in the job title relative to all contract IT jobs advertised in Liverpool.
Python Developer Daily Rate Trend in Liverpool
Contractor daily rate distribution trend for Python Developer job vacancies in Liverpool.
Python Developer Skill Set Top 4 Co-Occurring Skills & Capabilities in Liverpool
For the 6 months to 19 November 2025, Python Developer contract job roles required 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 Liverpool region featuring Python Developer in the job title.
Python Developer Skill Set Co-Occurring Skills & Capabilities in Liverpool 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:
