Oracle Database (Oracle RDBMS)
Merton > Wimbledon
The table below provides summary statistics and contractor rates for jobs advertised in Wimbledon requiring Oracle Database skills. It covers contract job vacancies from the 6 months leading up to 26 December 2025, with comparisons to the same periods in the previous two years.
|
|
6 months to 26 Dec 2025 |
Same period 2024 |
Same period 2023 |
| Rank |
2 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Contract jobs citing Oracle Database |
2 |
0 |
0 |
| As % of all contract jobs in Wimbledon |
50.00% |
- |
- |
| As % of the Database & Business Intelligence category |
66.67% |
- |
- |
| Number of daily rates quoted |
2 |
0 |
0 |
| Median daily rate (50th Percentile) |
£300 |
- |
- |
| Merton median daily rate |
£300 |
- |
- |
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 Wimbledon.
| Contract vacancies with a requirement for database or business intelligence skills |
3 |
0 |
2 |
| As % of all contract IT jobs advertised in Wimbledon |
75.00% |
- |
15.38% |
| Number of daily rates quoted |
3 |
0 |
2 |
| 10th Percentile |
£230 |
- |
£423 |
| 25th Percentile |
£256 |
- |
£439 |
| Median daily rate (50th Percentile) |
£300 |
- |
£473 |
| Median % change year-on-year |
- |
- |
-0.53% |
| 75th Percentile |
- |
- |
£499 |
| 90th Percentile |
- |
- |
£512 |
| Merton median daily rate |
£300 |
- |
£475 |
Oracle Database
Job Vacancy Trend in Wimbledon
Historical trend showing the proportion of contract IT job postings citing Oracle Database relative to all contract IT jobs advertised in Wimbledon.
Oracle Database
Daily Rate Trend in Wimbledon
Contractor daily rate distribution trend for jobs in Wimbledon citing Oracle Database.
Oracle Database
Co-Occurring Skills & Capabilities in Wimbledon 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: