The table below provides summary statistics and salary benchmarking for jobs advertised in Liverpool requiring Data Engineering skills. It covers vacancies from the 6 months leading up to 2 September 2025, with comparisons to the same periods in the previous two years.
6 months to 2 Sep 2025
Same period 2024
Same period 2023
Rank
49
56
57
Rank change year-on-year
+7
+1
-3
Permanent jobs citing Data Engineering
2
1
2
As % of all permanent jobs advertised in Liverpool
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 Liverpool.
Permanent vacancies with a requirement for process or methodology skills
364
529
473
As % of all permanent jobs advertised in Liverpool
92.39%
72.76%
96.33%
Number of salaries quoted
188
381
325
10th Percentile
£25,750
£31,250
£29,500
25th Percentile
£37,500
£38,750
£37,250
Median annual salary (50th Percentile)
£52,500
£52,500
£47,500
Median % change year-on-year
-
+10.53%
-5.00%
75th Percentile
£63,750
£70,000
£60,000
90th Percentile
£75,000
£80,497
£70,000
Merseyside median annual salary
£52,500
£50,000
£47,500
% change year-on-year
+5.00%
+5.26%
-5.00%
Data Engineering Job Vacancy Trend in Liverpool
Job postings citing Data Engineering as a proportion of all IT jobs advertised in Liverpool.
Data Engineering Salary Trend in Liverpool
Salary distribution trend for jobs in Liverpool citing Data Engineering.
Data Engineering Top 7 Co-occurring Skills and Capabilities in Liverpool
For the 6 months to 2 September 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 Liverpool region with a requirement for Data Engineering.
Data Engineering Co-occurring Skills and Capabilities in Liverpool 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:
