The table below provides summary statistics and salary benchmarking for jobs advertised in Southwark requiring Data Modelling skills. It covers permanent job vacancies from the 6 months leading up to 6 November 2025, with comparisons to the same periods in the previous two years.
Data Modelling falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Southwark.
Permanent vacancies with a requirement for process or methodology skills
30
42
29
As % of all permanent jobs advertised in Southwark
100.00%
97.67%
96.67%
Number of salaries quoted
16
29
29
10th Percentile
£51,263
£42,500
£44,000
25th Percentile
£52,910
£47,500
£61,250
Median annual salary (50th Percentile)
£85,000
£55,000
£80,000
Median % change year-on-year
+54.55%
-31.25%
+28.00%
75th Percentile
£94,752
£72,500
£106,250
90th Percentile
£119,375
£83,749
-
Central London median annual salary
£75,000
£75,000
£72,500
% change year-on-year
-
+3.45%
-3.33%
Data Modelling Job Vacancy Trend in Southwark
Historical trend showing the proportion of permanent IT job postings citing Data Modelling relative to all permanent IT jobs advertised in Southwark.
Data Modelling Salary Trend in Southwark
Salary distribution trend for jobs in Southwark citing Data Modelling.
Data Modelling Top 16 Co-Occurring Skills & Capabilities in Southwark
For the 6 months to 6 November 2025, job vacancies citing Data Modelling also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Southwark region with a requirement for Data Modelling.
Data Modelling Co-Occurring Skills & Capabilities in Southwark by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
