Physical Data Model Job Trends in Bristol

Physical Data Model
South West > Bristol

The table below provides summary statistics and salary benchmarking for jobs advertised in Bristol requiring Physical Data Model skills. It covers permanent job vacancies from the 6 months leading up to 14 January 2026, with comparisons to the same periods in the previous two years.

6 months to
14 Jan 2026
Same period 2025 Same period 2024
Rank - 104 129
Rank change year-on-year - +25 -
Permanent jobs citing Physical Data Model 0 3 2
As % of all permanent jobs in Bristol - 0.22% 0.11%
As % of the Processes & Methodologies category - 0.24% 0.12%
Number of salaries quoted 0 1 0
Median annual salary (50th Percentile) - £85,000 -
South West median annual salary - £85,000 -

All Process & Methodology Skills
Bristol

Physical Data Model 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 Bristol.

Permanent vacancies with a requirement for process or methodology skills 1,330 1,232 1,652
As % of all permanent jobs advertised in Bristol 64.07% 88.95% 93.02%
Number of salaries quoted 1,013 662 1,341
10th Percentile £29,000 £30,000 £36,250
25th Percentile £40,000 £45,250 £45,000
Median annual salary (50th Percentile) £55,000 £60,000 £60,000
Median % change year-on-year -8.33% - +9.09%
75th Percentile £70,000 £73,886 £72,500
90th Percentile £81,200 £85,000 £90,000
South West median annual salary £50,000 £55,000 £52,500
% change year-on-year -9.09% +4.76% +2.94%

Physical Data Model
Job Vacancy Trend in Bristol

Historical trend showing the proportion of permanent IT job postings citing Physical Data Model relative to all permanent IT jobs advertised in Bristol.

Physical Data Model job vacancy trend in Bristol

Physical Data Model
Salary Trend in Bristol

Salary distribution trend for jobs in Bristol citing Physical Data Model.

Salary distribution trend for jobs in Bristol citing Physical Data Model