Microsoft Azure
Lincolnshire > Stamford
The table below provides summary statistics and salary benchmarking for jobs advertised in Stamford requiring Azure skills. It covers permanent job vacancies from the 6 months leading up to 2 October 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
2 Oct 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
4 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Azure |
1 |
0 |
0 |
| As % of all permanent jobs in Stamford |
4.55% |
- |
- |
| As % of the Cloud Services category |
50.00% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£36,250 |
- |
- |
| Median annual salary (50th Percentile) |
£37,500 |
- |
- |
| 75th Percentile |
£38,750 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Lincolnshire median annual salary |
£45,000 |
£40,000 |
£40,000 |
| % change year-on-year |
+12.50% |
- |
- |
Azure falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Stamford.
| Permanent vacancies with a requirement for cloud computing skills |
2 |
0 |
0 |
| As % of all permanent jobs advertised in Stamford |
9.09% |
- |
- |
| Number of salaries quoted |
2 |
0 |
0 |
| 10th Percentile |
£37,375 |
- |
- |
| 25th Percentile |
£39,063 |
- |
- |
| Median annual salary (50th Percentile) |
£46,250 |
- |
- |
| 75th Percentile |
£56,563 |
- |
- |
| 90th Percentile |
£60,125 |
- |
- |
| Lincolnshire median annual salary |
£45,000 |
£30,000 |
£40,000 |
| % change year-on-year |
+50.00% |
-25.00% |
+23.08% |
Azure
Job Vacancy Trend in Stamford
Historical trend showing the proportion of permanent IT job postings citing Azure relative to all permanent IT jobs advertised in Stamford.
Azure
Salary Trend in Stamford
Salary distribution trend for jobs in Stamford citing Azure.
Azure
Co-Occurring Skills & Capabilities in Stamford 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:
