The table below provides summary statistics for permanent job vacancies advertised in Lincolnshire requiring NoSQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited NoSQL over the 6 months leading up to 19 April 2025, comparing them to the same period in the previous two years.
6 months to 19 Apr 2025
Same period 2024
Same period 2023
Rank
37
-
39
Rank change year-on-year
-
-
+1
Permanent jobs citing NoSQL
1
0
2
As % of all permanent jobs advertised in Lincolnshire
NoSQL 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 Lincolnshire.
Permanent vacancies with a requirement for database or business intelligence skills
22
58
34
As % of all permanent jobs advertised in Lincolnshire
8.53%
10.58%
14.78%
Number of salaries quoted
20
50
13
10th Percentile
£23,250
£26,250
£26,750
25th Percentile
£33,953
£28,125
£32,750
Median annual salary (50th Percentile)
£53,750
£41,492
£35,500
Median % change year-on-year
+29.54%
+16.88%
-34.86%
75th Percentile
£62,500
£45,000
£67,500
90th Percentile
£72,500
£55,000
£68,750
East Midlands median annual salary
£50,000
£50,000
£50,000
NoSQL Job Vacancy Trend in Lincolnshire
Job postings citing NoSQL as a proportion of all IT jobs advertised in Lincolnshire.
NoSQL Salary Trend in Lincolnshire
3-month moving average salary quoted in jobs citing NoSQL in Lincolnshire.
NoSQL Top 30 Co-occurring Skills and Capabilities in Lincolnshire
For the 6 months to 19 April 2025, job vacancies citing NoSQL also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Lincolnshire region with a requirement for NoSQL.
NoSQL Co-occurring Skills and Capabilities in Lincolnshire 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:
