For comparison with the information above, the following table provides summary statistics for all contract IT job vacancies in Croydon. 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 Croydon with a recognized job title
81
96
142
% of contract IT jobs with a recognized job title
97.59%
96.97%
100.00%
Number of daily rates quoted
62
61
113
10th Percentile
£320
£380
£231
25th Percentile
£463
£425
£425
Median daily rate (50th Percentile)
£515
£538
£539
Median % change year-on-year
-4.28%
-0.19%
-2.00%
75th Percentile
£588
£600
£625
90th Percentile
£638
£650
£675
South London median daily rate
£500
£500
£525
% change year-on-year
-
-4.76%
-4.55%
Number of hourly rates quoted
0
3
1
10th Percentile
-
-
-
25th Percentile
-
£17.25
£21.75
Median hourly rate
-
£19.50
£23.50
Median % change year-on-year
-
-17.02%
-
75th Percentile
-
£21.75
£25.25
90th Percentile
-
-
-
South London median hourly rate
£38.36
£19.50
£43.84
% change year-on-year
+96.71%
-55.52%
-0.61%
Python Software Engineer Job Vacancy Trend in Croydon
Historical trend showing the proportion of contract IT job postings featuring 'Python Software Engineer' in the job title relative to all contract IT jobs advertised in Croydon.
Python Software Engineer Daily Rate Trend in Croydon
Contractor daily rate distribution trend for Python Software Engineer job vacancies in Croydon.
Python Software Engineer Skill Set Top 7 Co-Occurring Skills & Capabilities in Croydon
For the 6 months to 4 November 2025, Python Software Engineer 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 Croydon region featuring Python Software Engineer in the job title.
Python Software Engineer Skill Set Co-Occurring Skills & Capabilities in Croydon 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:
