Amazon Web Services Engineer East Midlands> Lincolnshire
The median Amazon Web Services Engineer salary in Lincolnshire is £46,000 per year, according to job vacancies posted during the 6 months leading to 10 October 2025.
The table below compares current salary benchmarking and summary statistics with the previous two years.
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Lincolnshire. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Lincolnshire with a recognized job title
225
329
112
% of permanent jobs with a recognized job title
85.23%
86.81%
100.00%
Number of salaries quoted
164
221
73
10th Percentile
£29,000
£26,250
£22,884
25th Percentile
£32,500
£35,000
£30,500
Median annual salary (50th Percentile)
£42,500
£45,000
£40,000
Median % change year-on-year
-5.56%
+12.50%
-13.98%
75th Percentile
£55,000
£55,000
£53,000
90th Percentile
£63,875
£70,000
£70,000
East Midlands median annual salary
£40,000
£47,500
£52,500
% change year-on-year
-15.79%
-9.52%
+5.00%
AWS Engineer Job Vacancy Trend in Lincolnshire
Historical trend showing the proportion of permanent IT job postings featuring 'AWS Engineer' in the job title relative to all permanent IT jobs advertised in Lincolnshire.
AWS Engineer Salary Trend in Lincolnshire
Salary distribution trend for AWS Engineer job vacancies in Lincolnshire.
AWS Engineer Skill Set Top 14 Co-Occurring Skills & Capabilities in Lincolnshire
For the 6 months to 10 October 2025, AWS Engineer job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Lincolnshire region featuring AWS Engineer in the job title.
AWS Engineer Skill Set Co-Occurring Skills & Capabilities in Lincolnshire by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category: