The table below provides summary statistics and contractor rates for jobs advertised in Swindon requiring Oracle Exadata skills. It covers contract job vacancies from the 6 months leading up to 29 November 2025, with comparisons to the same periods in the previous two years.
Oracle Exadata 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 Swindon.
Contract vacancies with a requirement for database or business intelligence skills
13
12
46
As % of all contract IT jobs advertised in Swindon
13.54%
12.90%
29.30%
Number of daily rates quoted
9
6
27
10th Percentile
£150
£425
£454
25th Percentile
£263
£438
£506
Median daily rate (50th Percentile)
£425
£475
£598
Median % change year-on-year
-10.53%
-20.50%
+13.81%
75th Percentile
£473
£554
£683
90th Percentile
£555
£580
£693
Wiltshire median daily rate
£550
£550
£575
% change year-on-year
-
-4.35%
-2.13%
Number of hourly rates quoted
0
0
3
Median hourly rate
-
-
£14.36
Wiltshire median hourly rate
£22.50
-
£14.36
% change year-on-year
-
-
-79.49%
Oracle Exadata Job Vacancy Trend in Swindon
Historical trend showing the proportion of contract IT job postings citing Oracle Exadata relative to all contract IT jobs advertised in Swindon.
Oracle Exadata Daily Rate Trend in Swindon
Contractor daily rate distribution trend for jobs in Swindon citing Oracle Exadata.
Oracle Exadata Top 8 Co-Occurring Skills & Capabilities in Swindon
For the 6 months to 29 November 2025, contractor job vacancies citing Oracle Exadata 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 Swindon region with a requirement for Oracle Exadata.
Oracle Exadata Co-Occurring Skills & Capabilities in Swindon 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:
