As of 19 April 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Engineer salary in Gloucester.
6 months to 19 Apr 2024
Same period 2023
Same period 2022
Rank
73
69
64
Rank change year-on-year
-4
-5
-36
Permanent jobs requiring a Data Engineer
4
15
14
As % of all permanent jobs advertised in Gloucester
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Gloucester. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Gloucester with a recognized job title
519
529
459
% of permanent jobs with a recognized job title
97.01%
89.06%
98.08%
Number of salaries quoted
283
137
131
10th Percentile
£30,075
£29,776
£25,500
25th Percentile
£35,875
£40,000
£36,325
Median annual salary (50th Percentile)
£50,000
£51,500
£48,000
Median % change year-on-year
-2.91%
+7.29%
-2.16%
75th Percentile
£57,500
£70,000
£64,375
90th Percentile
£67,500
£79,750
£68,750
Gloucestershire median annual salary
£50,000
£55,000
£50,000
% change year-on-year
-9.09%
+10.00%
+1.01%
Data Engineer Job Vacancy Trend in Gloucester
Job postings that featured Data Engineer in the job title as a proportion of all IT jobs advertised in Gloucester.
Data Engineer Salary Trend in Gloucester
3-month moving average salary quoted in jobs citing Data Engineer in Gloucester.
Data Engineer Skill Set Top 30 Co-occurring Skills and Capabilities in Gloucester
For the 6 months to 19 April 2024, Data Engineer job roles required 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 featuring Data Engineer in the job title.
Data Engineer Skill Set 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:
