The table below provides summary statistics for contract job vacancies advertised in Merseyside 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 1 May 2025, comparing them to the same period in the previous two years.
6 months to 1 May 2025
Same period 2024
Same period 2023
Rank
28
30
45
Rank change year-on-year
+2
+15
+4
Contract jobs citing MongoDB
1
3
2
As % of all contract jobs advertised in Merseyside
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 Merseyside.
Contract vacancies with a requirement for database or business intelligence skills
32
27
68
As % of all contract IT jobs advertised in Merseyside
19.05%
11.84%
19.88%
Number of daily rates quoted
27
24
56
10th Percentile
£208
£115
£325
25th Percentile
£456
£191
£425
Median daily rate (50th Percentile)
£545
£363
£500
Median % change year-on-year
+50.34%
-27.50%
-4.76%
75th Percentile
£638
£480
£626
90th Percentile
£663
£494
£675
North West median daily rate
£475
£489
£490
% change year-on-year
-2.86%
-0.20%
-2.00%
MongoDB Job Vacancy Trend in Merseyside
Job postings citing MongoDB as a proportion of all IT jobs advertised in Merseyside.
MongoDB Contractor Daily Rate Trend in Merseyside
3-month moving average daily rate quoted in jobs citing MongoDB in Merseyside.
MongoDB Top 15 Co-occurring Skills and Capabilities in Merseyside
For the 6 months to 1 May 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 Merseyside region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Merseyside 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:
