The table below provides summary statistics for permanent job vacancies advertised in Wimbledon requiring Elasticsearch skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Elasticsearch over the 6 months leading up to 21 May 2025, comparing them to the same period in the previous two years.
6 months to 21 May 2025
Same period 2024
Same period 2023
Rank
21
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Elasticsearch
1
0
0
As % of all permanent jobs advertised in Wimbledon
Elasticsearch falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Wimbledon.
Permanent vacancies with a requirement for database or business intelligence skills
3
0
5
As % of all permanent jobs advertised in Wimbledon
5.88%
-
13.89%
Number of salaries quoted
0
0
5
10th Percentile
-
-
£41,000
25th Percentile
-
-
£50,000
Median annual salary (50th Percentile)
-
-
£55,000
Median % change year-on-year
-
-
-8.33%
75th Percentile
-
-
£57,500
90th Percentile
-
-
£59,000
Merton median annual salary
-
£80,000
£55,000
% change year-on-year
-
+45.45%
-8.33%
Elasticsearch Job Vacancy Trend in Wimbledon
Job postings citing Elasticsearch as a proportion of all IT jobs advertised in Wimbledon.
Elasticsearch Salary Trend in Wimbledon
3-month moving average salary quoted in jobs citing Elasticsearch in Wimbledon.
Elasticsearch Top 22 Co-occurring Skills and Capabilities in Wimbledon
For the 6 months to 21 May 2025, job vacancies citing Elasticsearch 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 Wimbledon region with a requirement for Elasticsearch.
Elasticsearch Co-occurring Skills and Capabilities in Wimbledon 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:
