Microsoft Azure SQL Data Warehouse Berkshire> Reading
The following table provides summary statistics for permanent job vacancies advertised in Reading 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 29 April 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 Reading with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
271
382
465
As % of all permanent jobs advertised in Reading
15.86%
23.49%
26.39%
Number of salaries quoted
111
224
271
10th Percentile
£42,500
£42,000
£37,500
25th Percentile
£48,750
£52,500
£51,250
Median annual salary (50th Percentile)
£63,500
£70,000
£62,500
Median % change year-on-year
-9.29%
+12.00%
-3.85%
75th Percentile
£77,500
£80,000
£75,000
90th Percentile
£87,500
£100,000
£82,500
Berkshire median annual salary
£65,000
£67,500
£60,000
% change year-on-year
-3.70%
+12.50%
+9.09%
Azure SQL Data Warehouse Job Vacancy Trend in Reading
Job postings citing Azure SQL Data Warehouse as a proportion of all IT jobs advertised in Reading.
Azure SQL Data Warehouse Salary Trend in Reading
3-month moving average salary quoted in jobs citing Azure SQL Data Warehouse in Reading.
Azure SQL Data Warehouse Top 15 Co-occurring Skills and Capabilities in Reading
For the 6 months to 29 April 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 Reading region with a requirement for Azure SQL Data Warehouse.
Azure SQL Data Warehouse Co-occurring Skills and Capabilities in Reading 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:
