The table below provides summary statistics for contract job vacancies advertised in Warrington requiring SQL skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited SQL over the 6 months leading up to 17 July 2025, comparing them to the same period in the previous two years.
6 months to 17 Jul 2025
Same period 2024
Same period 2023
Rank
16
10
20
Rank change year-on-year
-6
+10
-4
Contract jobs citing SQL
2
5
6
As % of all contract jobs advertised in Warrington
SQL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring coding skills in Warrington.
Contract vacancies with a requirement for coding skills
9
9
17
As % of all contract IT jobs advertised in Warrington
15.00%
14.75%
16.83%
Number of daily rates quoted
7
7
7
10th Percentile
£230
£323
£329
25th Percentile
£273
£371
£416
Median daily rate (50th Percentile)
£388
£390
£475
Median % change year-on-year
-0.64%
-17.89%
-
75th Percentile
£405
£481
£563
90th Percentile
£452
£488
£663
Cheshire median daily rate
£402
£475
£550
% change year-on-year
-15.37%
-13.64%
+29.41%
SQL Job Vacancy Trend in Warrington
Job postings citing SQL as a proportion of all IT jobs advertised in Warrington.
SQL Contractor Daily Rate Trend in Warrington
3-month moving average daily rate quoted in jobs citing SQL in Warrington.
SQL Contractor Hourly Rate Trend in Warrington
3-month moving average hourly rates quoted in jobs citing SQL in Warrington.
SQL Top 20 Co-occurring Skills and Capabilities in Warrington
For the 6 months to 17 July 2025, contractor job vacancies citing SQL 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 Warrington region with a requirement for SQL.
SQL Co-occurring Skills and Capabilities in Warrington 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:
