Building Information Modelling Job Trends in Leeds
Building Information Modelling (BIM) West Yorkshire> Leeds
The table below provides summary statistics and salary benchmarking for jobs advertised in Leeds requiring Building Information Modelling skills. It covers vacancies from the 6 months leading up to 30 August 2025, with comparisons to the same periods in the previous two years.
6 months to 30 Aug 2025
Same period 2024
Same period 2023
Rank
92
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Building Information Modelling
Building Information 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 Leeds.
Permanent vacancies with a requirement for process or methodology skills
909
1,560
2,051
As % of all permanent jobs advertised in Leeds
87.83%
79.39%
97.02%
Number of salaries quoted
573
992
1,266
10th Percentile
£30,000
£32,500
£32,000
25th Percentile
£42,500
£42,500
£42,500
Median annual salary (50th Percentile)
£60,000
£55,000
£57,125
Median % change year-on-year
+9.09%
-3.72%
+3.86%
75th Percentile
£72,750
£70,000
£75,000
90th Percentile
£90,000
£83,750
£88,750
West Yorkshire median annual salary
£55,000
£53,500
£55,000
% change year-on-year
+2.80%
-2.73%
+4.76%
Building Information Modelling Job Vacancy Trend in Leeds
Job postings citing Building Information Modelling as a proportion of all IT jobs advertised in Leeds.
Building Information Modelling Top 2 Co-occurring Skills and Capabilities in Leeds
For the 6 months to 30 August 2025, job vacancies citing Building Information Modelling 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 Leeds region with a requirement for Building Information Modelling.
Building Information Modelling Co-occurring Skills and Capabilities in Leeds 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:
