The table below provides summary statistics for permanent job vacancies advertised in Potters Bar requiring AWS Lambda skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited AWS Lambda over the 6 months leading up to 13 May 2025, comparing them to the same period in the previous two years.
6 months to 13 May 2025
Same period 2024
Same period 2023
Rank
6
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing AWS Lambda
1
0
0
As % of all permanent jobs advertised in Potters Bar
AWS Lambda falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Potters Bar.
Permanent vacancies with a requirement for cloud computing skills
4
9
4
As % of all permanent jobs advertised in Potters Bar
26.67%
47.37%
40.00%
Number of salaries quoted
1
9
3
10th Percentile
-
£40,900
£40,500
25th Percentile
-
£43,250
£54,375
Median annual salary (50th Percentile)
£76,000
£47,500
£80,000
Median % change year-on-year
+60.00%
-40.63%
+22.61%
75th Percentile
-
£52,500
£91,250
90th Percentile
-
£53,000
£96,500
Hertfordshire median annual salary
£59,000
£48,500
£57,500
% change year-on-year
+21.65%
-15.65%
+4.55%
AWS Lambda Job Vacancy Trend in Potters Bar
Job postings citing AWS Lambda as a proportion of all IT jobs advertised in Potters Bar.
AWS Lambda Salary Trend in Potters Bar
3-month moving average salary quoted in jobs citing AWS Lambda in Potters Bar.
AWS Lambda Top 21 Co-occurring Skills and Capabilities in Potters Bar
For the 6 months to 13 May 2025, job vacancies citing AWS Lambda 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 Potters Bar region with a requirement for AWS Lambda.
AWS Lambda Co-occurring Skills and Capabilities in Potters Bar 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:
