Microsoft Azure SQL Data Warehouse West Yorkshire> Leeds
The following table provides summary statistics for permanent job vacancies advertised in Leeds with a requirement for Azure SQL Data Warehouse skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Azure SQL Data Warehouse over the 6 months to 2 May 2024 with a comparison to the same period in the previous 2 years.
Azure SQL Data Warehouse is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Leeds with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
395
662
757
As % of all permanent jobs advertised in Leeds
17.49%
21.83%
20.06%
Number of salaries quoted
276
409
531
10th Percentile
£36,250
£38,750
£35,000
25th Percentile
£42,375
£41,250
£42,500
Median annual salary (50th Percentile)
£51,500
£55,000
£55,000
Median % change year-on-year
-6.36%
-
+4.76%
75th Percentile
£65,000
£70,000
£68,750
90th Percentile
£84,982
£84,056
£85,000
West Yorkshire median annual salary
£52,500
£54,975
£52,500
% change year-on-year
-4.50%
+4.71%
-
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 15 Co-occurring Skills and Capabilities in Leeds
For the 6 months to 2 May 2024, 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: