The table below provides summary statistics and salary benchmarking for jobs advertised in Milton Keynes requiring MySQL skills. It covers permanent job vacancies from the 6 months leading up to 29 October 2025, with comparisons to the same periods in the previous two years.
MySQL falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Milton Keynes.
Permanent vacancies with a requirement for database or business intelligence skills
71
87
102
As % of all permanent jobs advertised in Milton Keynes
22.76%
22.03%
19.17%
Number of salaries quoted
50
72
88
10th Percentile
£37,500
£33,650
£42,708
25th Percentile
£42,500
£36,250
£47,500
Median annual salary (50th Percentile)
£51,500
£47,500
£60,000
Median % change year-on-year
+8.42%
-20.83%
+9.09%
75th Percentile
£65,000
£57,500
£77,500
90th Percentile
£72,500
£65,000
£90,000
Buckinghamshire median annual salary
£47,500
£47,500
£57,500
% change year-on-year
-
-17.39%
+4.55%
MySQL Job Vacancy Trend in Milton Keynes
Historical trend showing the proportion of permanent IT job postings citing MySQL relative to all permanent IT jobs advertised in Milton Keynes.
MySQL Salary Trend in Milton Keynes
Salary distribution trend for jobs in Milton Keynes citing MySQL.
MySQL Salary Histogram in Milton Keynes
Salary distribution for jobs citing MySQL in Milton Keynes over the 6 months to 29 October 2025.
MySQL Top 30 Co-Occurring Skills & Capabilities in Milton Keynes
For the 6 months to 29 October 2025, job vacancies citing MySQL also mentioned 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 Milton Keynes region with a requirement for MySQL.
MySQL Co-Occurring Skills & Capabilities in Milton Keynes 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:
