Extract, Transform and Load (ETL) South Yorkshire> Doncaster
The table below provides summary statistics and contractor rates for jobs advertised in Doncaster requiring ETL skills. It covers contract job vacancies from the 6 months leading up to 4 October 2025, with comparisons to the same periods in the previous two years.
ETL falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring process or methodology skills in Doncaster.
Contract vacancies with a requirement for process or methodology skills
9
21
13
As % of all contract IT jobs advertised in Doncaster
90.00%
77.78%
72.22%
Number of daily rates quoted
6
7
8
10th Percentile
£136
£212
£190
25th Percentile
£186
£219
£258
Median daily rate (50th Percentile)
£285
£325
£375
Median % change year-on-year
-12.31%
-13.39%
-5.60%
75th Percentile
£411
£431
£572
90th Percentile
£568
£495
£713
South Yorkshire median daily rate
£475
£520
£587
% change year-on-year
-8.65%
-11.48%
+17.49%
Number of hourly rates quoted
0
9
1
Median hourly rate
-
£12.83
£50.00
Median % change year-on-year
-
-74.34%
-
South Yorkshire median hourly rate
£18.87
£12.83
£20.50
% change year-on-year
+47.08%
-37.41%
+14.69%
ETL Job Vacancy Trend in Doncaster
Historical trend showing the proportion of contract IT job postings citing ETL relative to all contract IT jobs advertised in Doncaster.
ETL Daily Rate Trend in Doncaster
Contractor daily rate distribution trend for jobs in Doncaster citing ETL.
ETL Top 13 Co-Occurring Skills & Capabilities in Doncaster
For the 6 months to 4 October 2025, contractor job vacancies citing ETL also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Doncaster region with a requirement for ETL.
ETL Co-Occurring Skills & Capabilities in Doncaster by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
