The following table provides summary statistics for permanent job vacancies advertised in Maidstone with a requirement for MongoDB skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited MongoDB over the 6 months to 8 June 2024 with a comparison to the same period in the previous 2 years.
6 months to 8 Jun 2024
Same period 2023
Same period 2022
Rank
26
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing MongoDB
6
0
0
As % of all permanent jobs advertised in Maidstone
MongoDB is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Maidstone with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
29
7
19
As % of all permanent jobs advertised in Maidstone
15.10%
2.65%
12.26%
Number of salaries quoted
25
7
19
10th Percentile
£36,250
£36,200
£40,250
25th Percentile
£46,250
£42,000
£41,250
Median annual salary (50th Percentile)
£49,000
£47,500
£42,500
Median % change year-on-year
+3.16%
+11.76%
+4.94%
75th Percentile
£65,000
£63,750
£43,750
90th Percentile
-
£69,500
£76,250
Kent median annual salary
£55,000
£52,500
£42,500
% change year-on-year
+4.76%
+23.53%
-
MongoDB Job Vacancy Trend in Maidstone
Job postings citing MongoDB as a proportion of all IT jobs advertised in Maidstone.
MongoDB Salary Trend in Maidstone
3-month moving average salary quoted in jobs citing MongoDB in Maidstone.
MongoDB Top 21 Co-occurring Skills and Capabilities in Maidstone
For the 6 months to 8 June 2024, 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 permanent job ads across the Maidstone region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Maidstone 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: