SQL Server Jobs in Kendal

Microsoft SQL Server (MS SQL)
Cumbria > Kendal

The following table provides summary statistics for permanent job vacancies advertised in Kendal with a requirement for SQL Server skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited SQL Server over the 6 months to 7 May 2024 with a comparison to the same period in the previous 2 years.

6 months to
7 May 2024
Same period 2023 Same period 2022
Rank 8 - -
Rank change year-on-year - - -
Permanent jobs citing SQL Server 2 0 0
As % of all permanent jobs advertised in Kendal 7.69% - -
As % of the Database & Business Intelligence category 50.00% - -
Number of salaries quoted 2 0 0
10th Percentile - - -
25th Percentile £51,250 - -
Median annual salary (50th Percentile) £52,500 - -
75th Percentile £53,750 - -
90th Percentile - - -
Cumbria median annual salary £52,500 - -

All Database and Business Intelligence Skills
Kendal

SQL Server is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Kendal with a requirement for database or business intelligence skills.

Permanent vacancies with a requirement for database or business intelligence skills 4 0 0
As % of all permanent jobs advertised in Kendal 15.38% - -
Number of salaries quoted 4 0 0
10th Percentile £39,775 - -
25th Percentile £43,938 - -
Median annual salary (50th Percentile) £50,000 - -
75th Percentile £53,750 - -
90th Percentile - - -
Cumbria median annual salary £45,000 £57,500 £35,000
% change year-on-year -21.74% +64.29% -12.50%

SQL Server
Job Vacancy Trend in Kendal

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

Job vacancy trend for SQL Server in Kendal

SQL Server
Salary Trend in Kendal

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

Salary trend for SQL Server in Kendal

SQL Server
Co-occurring Skills and Capabilities in Kendal 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:

Applications
1 2 (100.00%) Microsoft Excel
Cloud Services
1 2 (100.00%) Power Platform
Database & Business Intelligence
1 2 (100.00%) Power BI
1 2 (100.00%) SQL Server Reporting Services
Job Titles
1 2 (100.00%) Business Intelligence Developer
1 2 (100.00%) Developer
Processes & Methodologies
1 2 (100.00%) Business Intelligence
1 2 (100.00%) Continuous Improvement
1 2 (100.00%) Data Management
1 2 (100.00%) Data Modelling
1 2 (100.00%) Data Visualisation
1 2 (100.00%) Decision-Making
1 2 (100.00%) Machine Learning
1 2 (100.00%) Performance Tuning
1 2 (100.00%) Visualisation
Programming Languages
1 2 (100.00%) PowerShell
1 2 (100.00%) Python
1 2 (100.00%) SQL
1 2 (100.00%) VBA
Quality Assurance & Compliance
1 2 (100.00%) Accessibility