As of 1 May 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Engineer salary in Cheltenham.
6 months to 1 May 2024
Same period 2023
Same period 2022
Rank
61
52
33
Rank change year-on-year
-9
-19
+64
Permanent jobs requiring a Data Engineer
4
2
33
As % of all permanent jobs advertised in Cheltenham
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Cheltenham. 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 Cheltenham with a recognized job title
408
245
373
% of permanent jobs with a recognized job title
97.37%
81.67%
97.14%
Number of salaries quoted
309
207
312
10th Percentile
£30,000
£31,250
£30,050
25th Percentile
£43,750
£43,375
£35,375
Median annual salary (50th Percentile)
£55,000
£59,500
£45,020
Median % change year-on-year
-7.56%
+32.16%
+0.05%
75th Percentile
£67,500
£73,750
£62,827
90th Percentile
£82,500
£82,500
£73,625
Gloucestershire median annual salary
£50,000
£55,000
£50,000
% change year-on-year
-9.09%
+10.00%
-
Data Engineer Job Vacancy Trend in Cheltenham
Job postings that featured Data Engineer in the job title as a proportion of all IT jobs advertised in Cheltenham.
Data Engineer Salary Trend in Cheltenham
3-month moving average salary quoted in jobs citing Data Engineer in Cheltenham.
Data Engineer Skill Set Top 30 Co-occurring Skills and Capabilities in Cheltenham
For the 6 months to 1 May 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 Cheltenham region featuring Data Engineer in the job title.
Data Engineer Skill Set Co-occurring Skills and Capabilities in Cheltenham 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:
