Oracle Database (Oracle RDBMS)
Wiltshire > Salisbury
The table below provides summary statistics and contractor rates for jobs advertised in Salisbury requiring Oracle Database skills. It covers contract job vacancies from the 6 months leading up to 14 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 14 Aug 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
13 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Contract jobs citing Oracle Database |
1 |
0 |
0 |
| As % of all contract jobs in Salisbury |
1.92% |
- |
- |
| As % of the Database & Business Intelligence category |
14.29% |
- |
- |
| Number of daily rates quoted |
1 |
0 |
0 |
| Median daily rate (50th Percentile) |
£800 |
- |
- |
| Wiltshire median daily rate |
£800 |
- |
- |
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 Salisbury.
| Contract vacancies with a requirement for database or business intelligence skills |
7 |
0 |
7 |
| As % of all contract IT jobs advertised in Salisbury |
13.46% |
- |
18.42% |
| Number of daily rates quoted |
3 |
0 |
7 |
| 10th Percentile |
£511 |
- |
£340 |
| 25th Percentile |
£527 |
- |
- |
| Median daily rate (50th Percentile) |
£560 |
- |
£400 |
| 75th Percentile |
£682 |
- |
£438 |
| 90th Percentile |
£753 |
- |
£475 |
| Wiltshire median daily rate |
£500 |
£513 |
£463 |
| % change year-on-year |
-2.44% |
+10.81% |
-15.91% |
Oracle Database
Job Vacancy Trend in Salisbury
Historical trend showing the proportion of contract IT job postings citing Oracle Database relative to all contract IT jobs advertised in Salisbury.
Oracle Database
Daily Rate Trend in Salisbury
Contractor daily rate distribution trend for jobs in Salisbury citing Oracle Database.
Oracle Database
Co-Occurring Skills & Capabilities in Salisbury 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: