SQL Job Trends in Dyfed

SQL (Structured Query Language)
Wales > Dyfed

The table below provides summary statistics and salary benchmarking for jobs advertised in Dyfed requiring SQL skills. It covers permanent job vacancies from the 6 months leading up to 22 April 2026, with comparisons to the same periods in the previous two years.

6 months to
22 Apr 2026
Same period 2025 Same period 2024
Rank 4 1 -
Rank change year-on-year -3 - -
Permanent jobs citing SQL 1 1 0
As % of all permanent jobs in Dyfed 11.11% 50.00% -
As % of the Programming Languages category 100.00% 50.00% -
Number of salaries quoted 1 1 0
10th Percentile - - -
25th Percentile £37,500 £70,000 -
Median annual salary (50th Percentile) £40,000 £75,000 -
Median % change year-on-year -46.67% - -
75th Percentile £42,500 £80,000 -
90th Percentile - - -
Wales median annual salary £41,250 £65,000 £45,000
% change year-on-year -36.54% +44.44% +12.50%

All Programming Languages
Dyfed

SQL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Dyfed.

Permanent vacancies with a requirement for coding skills 1 2 0
As % of all permanent jobs advertised in Dyfed 11.11% 100.00% -
Number of salaries quoted 1 2 0
10th Percentile - £71,000 -
25th Percentile £37,500 £72,500 -
Median annual salary (50th Percentile) £40,000 £77,500 -
Median % change year-on-year -48.39% - -
75th Percentile £42,500 £80,000 -
90th Percentile - - -
Wales median annual salary £57,500 £55,000 £50,000
% change year-on-year +4.55% +10.00% +8.70%

SQL
Job Vacancy Trend in Dyfed

Historical trend showing the proportion of permanent IT job postings citing SQL relative to all permanent IT jobs advertised in Dyfed.

SQL job vacancy trend in Dyfed

SQL
Salary Trend in Dyfed

Salary distribution trend for jobs in Dyfed citing SQL.

Salary distribution trend for jobs in Dyfed citing SQL

SQL
Co-Occurring Skills & Capabilities in Dyfed 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:

Business Applications
1 1 (100.00%) Dynamics CRM
Cloud Services
1 1 (100.00%) Azure
1 1 (100.00%) Azure Data Factory
1 1 (100.00%) Azure Logic Apps
1 1 (100.00%) Dynamics 365
1 1 (100.00%) iPaaS
1 1 (100.00%) Power Automate
1 1 (100.00%) Power Platform
1 1 (100.00%) PowerApps
Development Applications
1 1 (100.00%) Oracle Forms
General
1 1 (100.00%) Marketing
Job Titles
1 1 (100.00%) CRM Specialist
1 1 (100.00%) Dynamics CRM Specialist
1 1 (100.00%) Power Platform Specialist
Miscellaneous
1 1 (100.00%) Data Structures
1 1 (100.00%) Enterprise Software
Processes & Methodologies
1 1 (100.00%) CRM
1 1 (100.00%) Mentoring
1 1 (100.00%) Stakeholder Engagement
1 1 (100.00%) Technical Leadership
Vendors
1 1 (100.00%) Microsoft
1 1 (100.00%) Oracle