The following table provides summary statistics for permanent job vacancies advertised in Canterbury with a requirement for Data Engineering skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Engineering over the 6 months to 5 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 5 May 2024
Same period 2023
Same period 2022
Rank
16
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Engineering
3
0
0
As % of all permanent jobs advertised in Canterbury
Data Engineering is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Canterbury with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
57
51
152
As % of all permanent jobs advertised in Canterbury
77.03%
96.23%
98.70%
Number of salaries quoted
51
24
71
10th Percentile
£27,965
£31,850
£20,700
25th Percentile
£32,500
£37,250
£33,750
Median annual salary (50th Percentile)
£48,000
£49,900
£46,500
Median % change year-on-year
-3.81%
+7.31%
+24.00%
75th Percentile
£60,625
£63,324
£53,750
90th Percentile
£65,000
£72,500
£57,500
Kent median annual salary
£42,500
£46,500
£45,000
% change year-on-year
-8.60%
+3.33%
+11.11%
Data Engineering Job Vacancy Trend in Canterbury
Job postings citing Data Engineering as a proportion of all IT jobs advertised in Canterbury.
Data Engineering Top 16 Co-occurring Skills and Capabilities in Canterbury
For the 6 months to 5 May 2024, 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 Canterbury region with a requirement for Data Engineering.
Data Engineering Co-occurring Skills and Capabilities in Canterbury 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:
