Microsoft Azure SQL Database (formerly SQL Azure)
Tyne and Wear > Gateshead
The table below provides summary statistics and salary benchmarking for jobs advertised in Gateshead requiring Azure SQL Database skills. It covers permanent job vacancies from the 6 months leading up to 31 October 2025, with comparisons to the same periods in the previous two years.
| 6 months to 31 Oct 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 19 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Azure SQL Database | 2 | 0 | 0 |
| As % of all permanent jobs in Gateshead | 3.77% | - | - |
| As % of the Database & Business Intelligence category | 20.00% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Tyne and Wear median annual salary | £48,000 | £50,000 | £62,500 |
| % change year-on-year | -4.00% | -20.00% | -16.67% |
All Database and Business Intelligence Skills
Gateshead
Azure SQL Database falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Gateshead.
| Permanent vacancies with a requirement for database or business intelligence skills | 10 | 7 | 2 |
| As % of all permanent jobs advertised in Gateshead | 18.87% | 14.29% | 22.22% |
| Number of salaries quoted | 0 | 4 | 2 |
| Median annual salary (50th Percentile) | - | £47,000 | £30,000 |
| Median % change year-on-year | - | +56.67% | - |
| Tyne and Wear median annual salary | £42,500 | £50,000 | £45,000 |
| % change year-on-year | -15.00% | +11.11% | -18.18% |
Azure SQL Database
Job Vacancy Trend in Gateshead
Historical trend showing the proportion of permanent IT job postings citing Azure SQL Database relative to all permanent IT jobs advertised in Gateshead.
Azure SQL Database
Co-Occurring Skills & Capabilities in Gateshead 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: