The table below provides summary statistics for contract job vacancies advertised in Camberley requiring Oracle Database skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Oracle Database over the 6 months leading up to 2 July 2025, comparing them to the same period in the previous two years.
Oracle Database 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 Camberley.
Contract vacancies with a requirement for database or business intelligence skills
2
0
12
As % of all contract IT jobs advertised in Camberley
7.14%
-
32.43%
Number of daily rates quoted
1
0
10
10th Percentile
-
-
£518
25th Percentile
£525
-
£600
Median daily rate (50th Percentile)
£550
-
£681
Median % change year-on-year
-
-
+23.86%
75th Percentile
£575
-
£694
90th Percentile
-
-
£700
Surrey median daily rate
£366
£450
£550
% change year-on-year
-18.61%
-18.18%
+10.00%
Oracle Database Job Vacancy Trend in Camberley
Job postings citing Oracle Database as a proportion of all IT jobs advertised in Camberley.
Oracle Database Contractor Daily Rate Trend in Camberley
3-month moving average daily rate quoted in jobs citing Oracle Database in Camberley.
Oracle Database Contractor Hourly Rate Trend in Camberley
3-month moving average hourly rates quoted in jobs citing Oracle Database in Camberley.
Oracle Database Top 17 Co-occurring Skills and Capabilities in Camberley
For the 6 months to 2 July 2025, contractor job vacancies citing Oracle Database 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 contract job ads across the Camberley region with a requirement for Oracle Database.
Oracle Database Co-occurring Skills and Capabilities in Camberley 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:
