The table below provides summary statistics and contractor rates for jobs advertised in Kent requiring NoSQL skills. It covers contract job vacancies from the 6 months leading up to 25 October 2025, with comparisons to the same periods in the previous two years.
NoSQL 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 Kent.
Contract vacancies with a requirement for database or business intelligence skills
6
14
32
As % of all contract IT jobs advertised in Kent
4.96%
7.65%
13.91%
Number of daily rates quoted
5
10
24
10th Percentile
-
£155
£156
25th Percentile
£313
£382
£195
Median daily rate (50th Percentile)
£450
£509
£519
Median % change year-on-year
-11.55%
-1.93%
+9.21%
75th Percentile
£563
£529
£588
90th Percentile
-
£542
£600
South East median daily rate
£450
£500
£550
% change year-on-year
-10.00%
-9.09%
+10.00%
Number of hourly rates quoted
0
1
4
10th Percentile
-
-
£16.53
25th Percentile
-
-
£18.44
Median hourly rate
-
£22.40
£20.25
Median % change year-on-year
-
+10.62%
-
75th Percentile
-
-
£22.00
90th Percentile
-
-
£24.25
South East median hourly rate
£18.75
£48.18
£49.00
% change year-on-year
-61.08%
-1.67%
+137.29%
NoSQL Job Vacancy Trend in Kent
Historical trend showing the proportion of contract IT job postings citing NoSQL relative to all contract IT jobs advertised in Kent.
NoSQL Daily Rate Trend in Kent
Contractor daily rate distribution trend for jobs in Kent citing NoSQL.
NoSQL Top 6 Co-Occurring Skills & Capabilities in Kent
For the 6 months to 25 October 2025, contractor job vacancies citing NoSQL 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 Kent region with a requirement for NoSQL.
NoSQL Co-Occurring Skills & Capabilities in Kent 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:
