The table below provides summary statistics and salary benchmarking for jobs advertised in Sheffield requiring Data Engineering skills. It covers vacancies from the 6 months leading up to 1 September 2025, with comparisons to the same periods in the previous two years.
6 months to 1 Sep 2025
Same period 2024
Same period 2023
Rank
46
63
-
Rank change year-on-year
+17
-
-
Permanent jobs citing Data Engineering
3
11
0
As % of all permanent jobs advertised in Sheffield
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 Sheffield.
Permanent vacancies with a requirement for process or methodology skills
325
694
507
As % of all permanent jobs advertised in Sheffield
79.85%
75.27%
98.26%
Number of salaries quoted
247
441
375
10th Percentile
£27,500
£31,250
£24,150
25th Percentile
£31,250
£40,000
£32,200
Median annual salary (50th Percentile)
£50,000
£52,500
£45,000
Median % change year-on-year
-4.76%
+16.67%
-10.00%
75th Percentile
£70,000
£62,500
£61,250
90th Percentile
£82,500
£75,000
£70,000
South Yorkshire median annual salary
£46,000
£50,000
£45,000
% change year-on-year
-8.00%
+11.11%
-10.00%
Data Engineering Job Vacancy Trend in Sheffield
Job postings citing Data Engineering as a proportion of all IT jobs advertised in Sheffield.
Data Engineering Salary Trend in Sheffield
Salary distribution trend for jobs in Sheffield citing Data Engineering.
Data Engineering Top 18 Co-occurring Skills and Capabilities in Sheffield
For the 6 months to 1 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 Sheffield region with a requirement for Data Engineering.
Data Engineering Co-occurring Skills and Capabilities in Sheffield 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:
