The table below provides summary statistics and salary benchmarking for jobs advertised in Slough requiring Disaster Recovery skills. It covers permanent job vacancies from the 6 months leading up to 30 November 2025, with comparisons to the same periods in the previous two years.
Disaster Recovery 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 Slough.
Permanent vacancies with a requirement for process or methodology skills
325
107
84
As % of all permanent jobs advertised in Slough
84.42%
97.27%
94.38%
Number of salaries quoted
95
63
51
10th Percentile
£33,093
£38,400
£32,500
25th Percentile
£40,000
£61,875
£43,250
Median annual salary (50th Percentile)
£60,000
£67,500
£52,500
Median % change year-on-year
-11.11%
+28.57%
-12.50%
75th Percentile
£72,500
£82,500
£71,250
90th Percentile
£75,000
-
£80,000
Berkshire median annual salary
£50,000
£65,000
£55,000
% change year-on-year
-23.08%
+18.18%
-4.35%
Disaster Recovery Job Vacancy Trend in Slough
Historical trend showing the proportion of permanent IT job postings citing Disaster Recovery relative to all permanent IT jobs advertised in Slough.
Disaster Recovery Salary Trend in Slough
Salary distribution trend for jobs in Slough citing Disaster Recovery.
Disaster Recovery Top 23 Co-Occurring Skills & Capabilities in Slough
For the 6 months to 30 November 2025, job vacancies citing Disaster Recovery 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 Slough region with a requirement for Disaster Recovery.
Disaster Recovery Co-Occurring Skills & Capabilities in Slough 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:
