The table below provides summary statistics and salary benchmarking for jobs advertised in Lincolnshire requiring Data Engineering skills. It covers vacancies from the 6 months leading up to 18 September 2025, with comparisons to the same periods in the previous two years.
6 months to 18 Sep 2025
Same period 2024
Same period 2023
Rank
38
34
-
Rank change year-on-year
-4
-
-
Permanent jobs citing Data Engineering
1
1
0
As % of all permanent jobs advertised in Lincolnshire
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 Lincolnshire.
Permanent vacancies with a requirement for process or methodology skills
223
228
123
As % of all permanent jobs advertised in Lincolnshire
86.43%
57.14%
93.89%
Number of salaries quoted
158
141
74
10th Percentile
£26,750
£28,000
£22,952
25th Percentile
£32,500
£32,500
£31,250
Median annual salary (50th Percentile)
£42,500
£40,000
£40,000
Median % change year-on-year
+6.25%
-
-11.11%
75th Percentile
£55,000
£51,250
£56,375
90th Percentile
£60,000
£57,500
£70,000
East Midlands median annual salary
£41,000
£45,000
£52,500
% change year-on-year
-8.89%
-14.29%
+5.00%
Data Engineering Job Vacancy Trend in Lincolnshire
Job postings citing Data Engineering as a proportion of all IT jobs advertised in Lincolnshire.
Data Engineering Salary Trend in Lincolnshire
Salary distribution trend for jobs in Lincolnshire citing Data Engineering.
Data Engineering Top 20 Co-occurring Skills and Capabilities in Lincolnshire
For the 6 months to 18 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 Lincolnshire region with a requirement for Data Engineering.
Data Engineering Co-occurring Skills and Capabilities in Lincolnshire 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:
