The table below provides summary statistics and contractor rates for jobs advertised in Reading requiring Amazon Redshift skills. It covers contract job vacancies from the 6 months leading up to 22 October 2025, with comparisons to the same periods in the previous two years.
Amazon Redshift falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Reading.
Contract vacancies with a requirement for database or business intelligence skills
112
212
152
As % of all contract IT jobs advertised in Reading
18.36%
19.40%
13.98%
Number of daily rates quoted
79
132
111
10th Percentile
£439
£385
£413
25th Percentile
£500
£488
£500
Median daily rate (50th Percentile)
£550
£606
£600
Median % change year-on-year
-9.28%
+1.04%
+26.32%
75th Percentile
£625
£650
£663
90th Percentile
£650
£663
£700
Berkshire median daily rate
£525
£580
£575
% change year-on-year
-9.48%
+0.87%
+19.79%
Number of hourly rates quoted
0
7
0
Median hourly rate
-
£61.60
-
Berkshire median hourly rate
-
£59.95
£63.00
% change year-on-year
-
-4.84%
+8.15%
Amazon Redshift Job Vacancy Trend in Reading
Historical trend showing the proportion of contract IT job postings citing Amazon Redshift relative to all contract IT jobs advertised in Reading.
Amazon Redshift Daily Rate Trend in Reading
Contractor daily rate distribution trend for jobs in Reading citing Amazon Redshift.
Amazon Redshift Top 20 Co-Occurring Skills & Capabilities in Reading
For the 6 months to 22 October 2025, contractor job vacancies citing Amazon Redshift 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 Reading region with a requirement for Amazon Redshift.
Amazon Redshift Co-Occurring Skills & Capabilities in Reading 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:
