The table below provides summary statistics for permanent job vacancies advertised in St Albans requiring DynamoDB skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited DynamoDB over the 6 months leading up to 3 May 2025, comparing them to the same period in the previous two years.
6 months to 3 May 2025
Same period 2024
Same period 2023
Rank
10
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing DynamoDB
1
0
0
As % of all permanent jobs advertised in St Albans
DynamoDB 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 St Albans.
Permanent vacancies with a requirement for database or business intelligence skills
9
22
11
As % of all permanent jobs advertised in St Albans
23.08%
21.78%
8.80%
Number of salaries quoted
5
22
8
10th Percentile
£50,950
£53,250
£53,625
25th Percentile
£51,250
£60,000
£60,938
Median annual salary (50th Percentile)
£60,000
£85,000
£67,500
Median % change year-on-year
-29.41%
+25.93%
-11.48%
75th Percentile
£76,000
£115,000
£73,438
90th Percentile
£93,400
£118,375
£80,000
Hertfordshire median annual salary
£62,500
£50,000
£60,000
% change year-on-year
+25.00%
-16.67%
-
DynamoDB Job Vacancy Trend in St Albans
Job postings citing DynamoDB as a proportion of all IT jobs advertised in St Albans.
DynamoDB Salary Trend in St Albans
3-month moving average salary quoted in jobs citing DynamoDB in St Albans.
DynamoDB Top 18 Co-occurring Skills and Capabilities in St Albans
For the 6 months to 3 May 2025, job vacancies citing DynamoDB 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 St Albans region with a requirement for DynamoDB.
DynamoDB Co-occurring Skills and Capabilities in St Albans 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:
