Extract, Transform and Load (ETL) Cambridgeshire> Peterborough
The table below provides summary statistics for permanent job vacancies advertised in Peterborough requiring ETL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited ETL over the 6 months leading up to 16 June 2024, comparing them to the same period in the previous two years.
6 months to 16 Jun 2024
Same period 2023
Same period 2022
Rank
29
36
61
Rank change year-on-year
+7
+25
-
Permanent jobs citing ETL
3
2
5
As % of all permanent jobs advertised in Peterborough
ETL falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Peterborough.
Permanent vacancies with a requirement for process or methodology skills
185
167
331
As % of all permanent jobs advertised in Peterborough
64.24%
99.40%
97.93%
Number of salaries quoted
123
87
268
10th Percentile
£26,250
£26,000
£30,500
25th Percentile
£31,000
£30,125
£32,500
Median annual salary (50th Percentile)
£45,000
£54,000
£47,500
Median % change year-on-year
-16.67%
+13.68%
-
75th Percentile
£57,500
£66,250
£60,000
90th Percentile
£65,000
£69,250
£73,750
Cambridgeshire median annual salary
£55,000
£55,000
£51,500
% change year-on-year
-
+6.80%
-1.90%
ETL Job Vacancy Trend in Peterborough
Job postings citing ETL as a proportion of all IT jobs advertised in Peterborough.
ETL Salary Trend in Peterborough
3-month moving average salary quoted in jobs citing ETL in Peterborough.
ETL Top 22 Co-occurring Skills and Capabilities in Peterborough
For the 6 months to 16 June 2024, job vacancies citing ETL 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 Peterborough region with a requirement for ETL.
ETL Co-occurring Skills and Capabilities in Peterborough 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:
