SQL (Structured Query Language) East London> Docklands, London
The following table provides summary statistics for permanent job vacancies advertised in Docklands, London with a requirement for SQL skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited SQL over the 6 months to 25 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
10
7
7
Rank change year-on-year
-3
0
-4
Permanent jobs citing SQL
1
9
8
As % of all permanent jobs advertised in Docklands, London
SQL is in the Programming Languages category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Docklands, London with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
1
20
28
As % of all permanent jobs advertised in Docklands, London
5.26%
34.48%
73.68%
Number of salaries quoted
1
20
28
10th Percentile
-
-
£56,625
25th Percentile
£77,500
£78,750
£71,250
Median annual salary (50th Percentile)
£80,000
£85,000
£80,000
Median % change year-on-year
-5.88%
+6.25%
+23.08%
75th Percentile
£82,500
£107,500
£95,625
90th Percentile
-
-
£118,750
East London median annual salary
£70,000
£67,500
£67,500
% change year-on-year
+3.70%
-
+17.39%
SQL Job Vacancy Trend in Docklands, London
Job postings citing SQL as a proportion of all IT jobs advertised in Docklands, London.
SQL Salary Trend in Docklands, London
3-month moving average salary quoted in jobs citing SQL in Docklands, London.
SQL Top 17 Co-occurring Skills and Capabilities in Docklands, London
For the 6 months to 25 April 2024, 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 permanent job ads across the Docklands, London region with a requirement for SQL.
SQL Co-occurring Skills and Capabilities in Docklands, London 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:
