Extract, Transform and Load (ETL) South East> East Sussex
The table below provides summary statistics for permanent job vacancies advertised in East Sussex 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 19 August 2025, comparing them to the same period in the previous two years.
6 months to 19 Aug 2025
Same period 2024
Same period 2023
Rank
40
49
61
Rank change year-on-year
+9
+12
+32
DemandTrendPermanent jobs citing ETL
6
18
24
As % of all permanent jobs advertised in East Sussex
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 East Sussex.
DemandTrendPermanent vacancies with a requirement for process or methodology skills
352
479
794
As % of all permanent jobs advertised in East Sussex
86.49%
79.70%
92.87%
Number of salaries quoted
190
338
545
10th Percentile
£25,500
£31,250
£33,750
25th Percentile
£31,750
£42,500
£43,000
Median annual salary (50th Percentile)
£50,000
£55,000
£55,000
Median % change year-on-year
-9.09%
-
-4.35%
75th Percentile
£61,250
£67,500
£70,000
90th Percentile
£79,325
£85,000
£77,500
South East median annual salary
£55,000
£52,500
£55,000
% change year-on-year
+4.76%
-4.55%
-
ETL Job Vacancy Trend in East Sussex
Job postings citing ETL as a proportion of all IT jobs advertised in East Sussex.
ETL Salary Trend in East Sussex
Salary distribution trend for jobs in East Sussex citing ETL.
ETL Top 14 Co-occurring Skills and Capabilities in East Sussex
For the 6 months to 19 August 2025, 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 East Sussex region with a requirement for ETL.
ETL Co-occurring Skills and Capabilities in East Sussex 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:
