The table below provides summary statistics and salary benchmarking for jobs advertised in Gloucester requiring Data Engineering skills. It covers vacancies from the 6 months leading up to 13 September 2025, with comparisons to the same periods in the previous two years.
6 months to 13 Sep 2025
Same period 2024
Same period 2023
Rank
18
22
47
Rank change year-on-year
+4
+25
+7
Permanent jobs citing Data Engineering
1
26
8
As % of all permanent jobs advertised in Gloucester
Data Engineering 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 Gloucester.
Permanent vacancies with a requirement for process or methodology skills
75
246
317
As % of all permanent jobs advertised in Gloucester
82.42%
85.71%
97.84%
Number of salaries quoted
48
130
174
10th Percentile
£33,875
£38,572
£31,250
25th Percentile
£40,438
£42,500
£41,250
Median annual salary (50th Percentile)
£53,750
£55,000
£60,000
Median % change year-on-year
-2.27%
-8.33%
+20.00%
75th Percentile
£80,000
£61,000
£72,483
90th Percentile
£87,125
£68,750
£78,025
Gloucestershire median annual salary
£52,500
£53,000
£57,500
% change year-on-year
-0.94%
-7.83%
+15.00%
Data Engineering Job Vacancy Trend in Gloucester
Job postings citing Data Engineering as a proportion of all IT jobs advertised in Gloucester.
Data Engineering Salary Trend in Gloucester
Salary distribution trend for jobs in Gloucester citing Data Engineering.
Data Engineering Top 19 Co-occurring Skills and Capabilities in Gloucester
For the 6 months to 13 September 2025, job vacancies citing Data Engineering 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 Gloucester region with a requirement for Data Engineering.
Data Engineering Co-occurring Skills and Capabilities in Gloucester 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:
