Microsoft Azure SQL Data Warehouse West Yorkshire> Leeds
The table below provides summary statistics for permanent job vacancies advertised in Leeds requiring Azure SQL Data Warehouse skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Azure SQL Data Warehouse over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
Azure SQL Data Warehouse 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 Leeds.
Permanent vacancies with a requirement for database or business intelligence skills
152
398
664
As % of all permanent jobs advertised in Leeds
19.69%
17.60%
21.86%
Number of salaries quoted
131
279
409
10th Percentile
£35,000
£36,250
£38,750
25th Percentile
£44,375
£42,407
£41,250
Median annual salary (50th Percentile)
£57,500
£51,500
£55,000
Median % change year-on-year
+11.65%
-6.36%
-
75th Percentile
£75,000
£65,000
£70,000
90th Percentile
£87,500
£85,500
£84,056
West Yorkshire median annual salary
£58,619
£52,500
£54,988
% change year-on-year
+11.65%
-4.52%
+4.74%
Azure SQL Data Warehouse Job Vacancy Trend in Leeds
Job postings citing Azure SQL Data Warehouse as a proportion of all IT jobs advertised in Leeds.
Azure SQL Data Warehouse Salary Trend in Leeds
3-month moving average salary quoted in jobs citing Azure SQL Data Warehouse in Leeds.
Azure SQL Data Warehouse Top 19 Co-occurring Skills and Capabilities in Leeds
For the 6 months to 2 May 2025, job vacancies citing Azure SQL Data Warehouse also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Leeds region with a requirement for Azure SQL Data Warehouse.
Azure SQL Data Warehouse Co-occurring Skills and Capabilities in Leeds by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
