The following table provides summary statistics for contract job vacancies advertised in Cambridge with a requirement for SQL Server skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited SQL Server over the 6 months to 9 May 2024 with a comparison to the same period in the previous 2 years.
SQL Server is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all contract job vacancies advertised in Cambridge with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
17
28
43
As % of all contract IT jobs advertised in Cambridge
8.59%
9.96%
13.07%
Number of daily rates quoted
8
18
32
10th Percentile
-
£336
£366
25th Percentile
£405
£425
£408
Median daily rate (50th Percentile)
£410
£450
£445
Median % change year-on-year
-8.89%
+1.12%
+0.28%
75th Percentile
£481
£558
£544
90th Percentile
£575
£650
£673
Cambridgeshire median daily rate
£475
£450
£465
% change year-on-year
+5.56%
-3.23%
+1.92%
SQL Server Job Vacancy Trend in Cambridge
Job postings citing SQL Server as a proportion of all IT jobs advertised in Cambridge.
SQL Server Contractor Daily Rate Trend in Cambridge
3-month moving average daily rate quoted in jobs citing SQL Server in Cambridge.
SQL Server Contractor Hourly Rate Trend in Cambridge
3-month moving average hourly rates quoted in jobs citing SQL Server in Cambridge.
SQL Server Top 18 Co-occurring Skills and Capabilities in Cambridge
For the 6 months to 9 May 2024, contractor job vacancies citing SQL Server 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 contract job ads across the Cambridge region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Cambridge 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:
