As of 25 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 Camberley.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
12
-
16
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Engineer
4
0
1
As % of all permanent jobs advertised in Camberley
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Camberley. 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 Camberley with a recognized job title
76
122
54
% of permanent jobs with a recognized job title
92.68%
96.06%
88.52%
Number of salaries quoted
46
96
24
10th Percentile
£27,500
£24,875
£32,514
25th Percentile
£33,000
£36,500
£35,813
Median annual salary (50th Percentile)
£35,000
£45,000
£50,000
Median % change year-on-year
-22.22%
-10.00%
-4.76%
75th Percentile
£52,500
£54,063
£57,500
90th Percentile
£64,375
£67,500
£65,250
Surrey median annual salary
£50,000
£60,000
£55,500
% change year-on-year
-16.67%
+8.11%
+5.71%
Data Engineer Job Vacancy Trend in Camberley
Job postings that featured Data Engineer in the job title as a proportion of all IT jobs advertised in Camberley.
Data Engineer Salary Trend in Camberley
3-month moving average salary quoted in jobs citing Data Engineer in Camberley.
Data Engineer Skill Set Top 19 Co-occurring Skills and Capabilities in Camberley
For the 6 months to 25 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 Camberley region featuring Data Engineer in the job title.
Data Engineer Skill Set Co-occurring Skills and Capabilities in Camberley 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:
