The following table provides summary statistics for permanent job vacancies advertised in Darlington with a requirement for Serverless skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Serverless over the 6 months to 30 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 30 Apr 2024
Same period 2023
Same period 2022
Rank
24
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Serverless
2
0
0
As % of all permanent jobs advertised in Darlington
Serverless is in the Cloud Services category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Darlington with a requirement for cloud computing skills.
Permanent vacancies with a requirement for cloud computing skills
37
8
8
As % of all permanent jobs advertised in Darlington
35.92%
13.33%
22.22%
Number of salaries quoted
31
7
8
10th Percentile
£28,250
£24,800
£22,750
25th Percentile
£30,000
£32,375
£29,313
Median annual salary (50th Percentile)
£39,000
£45,000
£40,000
Median % change year-on-year
-13.33%
+12.50%
+37.93%
75th Percentile
£46,125
£55,625
£45,063
90th Percentile
£47,500
£70,500
£48,175
Durham median annual salary
£45,000
£40,250
£40,000
% change year-on-year
+11.80%
+0.63%
+4.58%
Serverless Job Vacancy Trend in Darlington
Job postings citing Serverless as a proportion of all IT jobs advertised in Darlington.
Serverless Salary Trend in Darlington
3-month moving average salary quoted in jobs citing Serverless in Darlington.
Serverless Top 27 Co-occurring Skills and Capabilities in Darlington
For the 6 months to 30 April 2024, job vacancies citing Serverless 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 Darlington region with a requirement for Serverless.
Serverless Co-occurring Skills and Capabilities in Darlington 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:
