The table below provides summary statistics for contract job vacancies advertised in Canary Wharf requiring MongoDB skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited MongoDB over the 6 months leading up to 23 June 2025, comparing them to the same period in the previous two years.
6 months to 23 Jun 2025
Same period 2024
Same period 2023
Rank
14
18
-
Rank change year-on-year
+4
-
-
Contract jobs citing MongoDB
1
1
0
As % of all contract jobs advertised in Canary Wharf
MongoDB 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 Canary Wharf.
Contract vacancies with a requirement for database or business intelligence skills
6
13
19
As % of all contract IT jobs advertised in Canary Wharf
11.32%
15.66%
22.62%
Number of daily rates quoted
6
12
15
10th Percentile
£456
£386
£497
25th Percentile
£478
£447
£506
Median daily rate (50th Percentile)
£563
£500
£650
Median % change year-on-year
+12.50%
-23.08%
+26.83%
75th Percentile
£653
£633
£742
90th Percentile
£675
£764
£765
Tower Hamlets median daily rate
£563
£500
£650
% change year-on-year
+12.50%
-23.08%
+26.83%
MongoDB Job Vacancy Trend in Canary Wharf
Job postings citing MongoDB as a proportion of all IT jobs advertised in Canary Wharf.
MongoDB Contractor Daily Rate Trend in Canary Wharf
3-month moving average daily rate quoted in jobs citing MongoDB in Canary Wharf.
MongoDB Top 18 Co-occurring Skills and Capabilities in Canary Wharf
For the 6 months to 23 June 2025, contractor job vacancies citing MongoDB also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all contract job ads across the Canary Wharf region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Canary Wharf by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories: