The table below provides summary statistics for permanent job vacancies advertised in Newport Pagnell requiring Data Engineering skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Engineering over the 6 months leading up to 11 May 2025, comparing them to the same period in the previous two years.
6 months to 11 May 2025
Same period 2024
Same period 2023
Rank
9
8
-
Rank change year-on-year
-1
-
-
Permanent jobs citing Data Engineering
5
7
0
As % of all permanent jobs advertised in Newport Pagnell
Data Engineering falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Newport Pagnell.
Permanent vacancies with a requirement for process or methodology skills
33
46
2
As % of all permanent jobs advertised in Newport Pagnell
100.00%
95.83%
100.00%
Number of salaries quoted
4
6
0
10th Percentile
£27,875
£35,500
-
25th Percentile
£39,688
£39,125
-
Median annual salary (50th Percentile)
£49,234
£50,000
-
Median % change year-on-year
-1.53%
-
-
75th Percentile
£57,225
£58,438
-
90th Percentile
£68,490
£61,250
-
Buckinghamshire median annual salary
£50,967
£45,000
£50,000
% change year-on-year
+13.26%
-10.00%
-4.76%
Data Engineering Job Vacancy Trend in Newport Pagnell
Job postings citing Data Engineering as a proportion of all IT jobs advertised in Newport Pagnell.
Data Engineering Top 8 Co-occurring Skills and Capabilities in Newport Pagnell
For the 6 months to 11 May 2025, 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 Newport Pagnell region with a requirement for Data Engineering.
Data Engineering Co-occurring Skills and Capabilities in Newport Pagnell 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:
