As of 20 September 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 20 Sep 2024
Same period 2023
Same period 2022
Rank
55
57
47
Rank change year-on-year
+2
-10
+21
Permanent jobs requiring a Data Engineer
1
3
36
As % of all permanent jobs advertised in Cheltenham
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies 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
301
345
533
% of permanent jobs with a recognized job title
97.41%
94.52%
97.80%
Number of salaries quoted
168
186
370
10th Percentile
£33,375
£31,250
£32,500
25th Percentile
£43,750
£42,500
£41,250
Median annual salary (50th Percentile)
£60,000
£55,500
£50,000
Median % change year-on-year
+8.11%
+11.00%
+11.11%
75th Percentile
£70,000
£72,000
£63,750
90th Percentile
£83,250
£78,500
£76,250
Gloucestershire median annual salary
£52,500
£55,000
£50,000
% change year-on-year
-4.55%
+10.00%
+4.17%
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 27 Co-occurring Skills and Capabilities in Cheltenham
For the 6 months to 20 September 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: