The table below provides summary statistics and salary benchmarking for jobs advertised in Leicester requiring Azure Databricks skills. It covers permanent job vacancies from the 6 months leading up to 30 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
30 Aug 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
62 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Azure Databricks |
1 |
0 |
0 |
| As % of all permanent jobs in Leicester |
0.11% |
- |
- |
| As % of the Cloud Services category |
0.46% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£28,000 |
- |
- |
| Leicestershire median annual salary |
£28,000 |
- |
- |
Azure Databricks 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 Leicester.
| Permanent vacancies with a requirement for cloud computing skills |
216 |
58 |
142 |
| As % of all permanent jobs advertised in Leicester |
24.46% |
30.85% |
42.64% |
| Number of salaries quoted |
116 |
43 |
107 |
| 10th Percentile |
£35,625 |
£41,700 |
£40,000 |
| 25th Percentile |
£42,500 |
£46,750 |
£42,500 |
| Median annual salary (50th Percentile) |
£57,500 |
£52,500 |
£55,000 |
| Median % change year-on-year |
+9.52% |
-4.55% |
+4.76% |
| 75th Percentile |
£70,000 |
£67,500 |
£62,500 |
| 90th Percentile |
£80,000 |
£73,500 |
£82,500 |
| Leicestershire median annual salary |
£50,000 |
£47,000 |
£50,000 |
| % change year-on-year |
+6.38% |
-6.00% |
-4.76% |
Azure Databricks
Job Vacancy Trend in Leicester
Historical trend showing the proportion of permanent IT job postings citing Azure Databricks relative to all permanent IT jobs advertised in Leicester.
Azure Databricks
Salary Trend in Leicester
Salary distribution trend for jobs in Leicester citing Azure Databricks.
Azure Databricks
Co-Occurring Skills & Capabilities in Leicester 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:
