The table below provides summary statistics for permanent job vacancies advertised in Uxbridge 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 20 August 2025, comparing them to the same period in the previous two years.
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 Uxbridge.
DemandTrendPermanent vacancies with a requirement for process or methodology skills
50
57
59
As % of all permanent jobs advertised in Uxbridge
92.59%
100.00%
100.00%
Number of salaries quoted
32
24
48
10th Percentile
£41,000
£31,625
£25,126
25th Percentile
£45,750
£38,250
£41,375
Median annual salary (50th Percentile)
£47,000
£40,000
£48,687
Median % change year-on-year
+17.50%
-17.84%
-18.86%
75th Percentile
£66,250
£42,500
£53,750
90th Percentile
£79,625
£47,000
£64,125
Hillingdon median annual salary
£47,000
£40,000
£48,687
% change year-on-year
+17.50%
-17.84%
-16.06%
Data Engineering Job Vacancy Trend in Uxbridge
Job postings citing Data Engineering as a proportion of all IT jobs advertised in Uxbridge.
Data Engineering Salary Trend in Uxbridge
Salary distribution trend for jobs in Uxbridge citing Data Engineering.
Data Engineering Top 27 Co-occurring Skills and Capabilities in Uxbridge
For the 6 months to 20 August 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 Uxbridge region with a requirement for Data Engineering.
Data Engineering Co-occurring Skills and Capabilities in Uxbridge 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:
