Infrastructure as Code (IaC, Infra as Code) Buckinghamshire> Marlow
The following table provides summary statistics for permanent job vacancies advertised in Marlow with a requirement for Infrastructure as Code skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Infrastructure as Code over the 6 months to 27 April 2024 with a comparison to the same period in the previous 2 years.
Infrastructure as Code is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Marlow with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
104
87
228
As % of all permanent jobs advertised in Marlow
100.00%
80.56%
90.12%
Number of salaries quoted
57
24
99
10th Percentile
-
£28,075
£32,500
25th Percentile
-
£38,750
£42,500
Median annual salary (50th Percentile)
£38,000
£75,000
£57,500
Median % change year-on-year
-49.33%
+30.43%
+27.78%
75th Percentile
£46,250
£83,750
£61,250
90th Percentile
£47,500
£87,500
£71,500
Buckinghamshire median annual salary
£45,000
£50,000
£51,500
% change year-on-year
-10.00%
-2.91%
+3.00%
Infrastructure as Code Job Vacancy Trend in Marlow
Job postings citing Infrastructure as Code as a proportion of all IT jobs advertised in Marlow.
Infrastructure as Code Salary Trend in Marlow
3-month moving average salary quoted in jobs citing Infrastructure as Code in Marlow.
Infrastructure as Code Top 20 Co-occurring Skills and Capabilities in Marlow
For the 6 months to 27 April 2024, job vacancies citing Infrastructure as Code 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 Marlow region with a requirement for Infrastructure as Code.
Infrastructure as Code Co-occurring Skills and Capabilities in Marlow 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:
