The table below looks at the prevalence of the term Semantic Web in permanent job vacancies advertised in Cambridge. Included is a benchmarking guide to the salaries offered in vacancies that have cited Semantic Web over the 6 months to 25 April 2024 with a comparison to the same period over the previous 2 years.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
78
-
128
Rank change year-on-year
-
-
-
Permanent jobs citing Semantic Web
2
0
1
As % of all permanent jobs advertised in Cambridge
Semantic Web is in the General and Transferable Skills category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Cambridge with a requirement for generic IT skills.
Permanent vacancies with a requirement for generic IT skills
485
551
1,003
As % of all permanent jobs advertised in Cambridge
49.04%
53.60%
62.18%
Number of salaries quoted
355
184
217
10th Percentile
£32,500
£32,500
£32,151
25th Percentile
£42,500
£43,750
£41,250
Median annual salary (50th Percentile)
£55,000
£60,000
£53,750
Median % change year-on-year
-8.33%
+11.63%
-10.42%
75th Percentile
£75,000
£72,500
£70,000
90th Percentile
£84,500
£87,125
£81,000
Cambridgeshire median annual salary
£55,000
£57,500
£52,500
% change year-on-year
-4.35%
+9.52%
-8.70%
Semantic Web Job Vacancy Trend in Cambridge
Job postings citing Semantic Web as a proportion of all IT jobs advertised in Cambridge.
Semantic Web Salary Trend in Cambridge
3-month moving average salary quoted in jobs citing Semantic Web in Cambridge.
Semantic Web Top 25 Co-occurring Skills and Capabilities in Cambridge
For the 6 months to 25 April 2024, job vacancies citing Semantic Web 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 Cambridge region with a requirement for Semantic Web.
Semantic Web Co-occurring Skills and Capabilities in Cambridge 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:
