SQL Jobs in Biggleswade

SQL (Structured Query Language)
Bedfordshire > Biggleswade

The table below provides summary statistics for permanent job vacancies advertised in Biggleswade requiring SQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SQL over the 6 months leading up to 4 May 2025, comparing them to the same period in the previous two years.

6 months to
4 May 2025
Same period 2024 Same period 2023
Rank 4 - 1
Rank change year-on-year - - -
Permanent jobs citing SQL 2 0 3
As % of all permanent jobs advertised in Biggleswade 12.50% - 100.00%
As % of the Programming Languages category 100.00% - 100.00%
Number of salaries quoted 1 0 3
10th Percentile - - £26,775
25th Percentile - - £26,813
Median annual salary (50th Percentile) £76,000 - £28,750
75th Percentile - - £30,625
90th Percentile - - -
Bedfordshire median annual salary £70,000 £50,000 £55,000
% change year-on-year +40.00% -9.09% +11.11%

All Programming Languages
Biggleswade

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 Biggleswade.

Permanent vacancies with a requirement for coding skills 2 0 3
As % of all permanent jobs advertised in Biggleswade 12.50% - 100.00%
Number of salaries quoted 1 0 3
10th Percentile - - £26,775
25th Percentile - - £26,813
Median annual salary (50th Percentile) £76,000 - £28,750
75th Percentile - - £30,625
90th Percentile - - -
Bedfordshire median annual salary £56,500 £52,500 £60,000
% change year-on-year +7.62% -12.50% +24.35%

SQL
Job Vacancy Trend in Biggleswade

Job postings citing SQL as a proportion of all IT jobs advertised in Biggleswade.

Job vacancy trend for SQL in Biggleswade

SQL
Salary Trend in Biggleswade

3-month moving average salary quoted in jobs citing SQL in Biggleswade.

Salary trend for SQL in Biggleswade

SQL
Co-occurring Skills and Capabilities in Biggleswade 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:

Cloud Services
1 2 (100.00%) Power Platform
Database & Business Intelligence
1 2 (100.00%) Geospatial Data
1 2 (100.00%) GIS
1 2 (100.00%) Power BI
1 2 (100.00%) Power Query
Miscellaneous
1 2 (100.00%) Algorithms
Processes & Methodologies
1 2 (100.00%) Actionable Insight
1 2 (100.00%) Asset Management
1 2 (100.00%) Business Intelligence
1 2 (100.00%) Data Management
1 2 (100.00%) Problem-Solving
1 2 (100.00%) Service Delivery
1 2 (100.00%) Strategic Planning