The table below provides summary statistics for permanent job vacancies advertised in Warrington requiring Data Lake skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Lake over the 6 months leading up to 3 June 2025, comparing them to the same period in the previous two years.
6 months to 3 Jun 2025
Same period 2024
Same period 2023
Rank
31
-
29
Rank change year-on-year
-
-
+40
Permanent jobs citing Data Lake
1
0
1
As % of all permanent jobs advertised in Warrington
Data Lake 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 Warrington.
Permanent vacancies with a requirement for database or business intelligence skills
11
62
10
As % of all permanent jobs advertised in Warrington
7.24%
14.73%
6.62%
Number of salaries quoted
3
22
9
10th Percentile
£55,000
-
£43,250
25th Percentile
£60,625
£26,250
£47,500
Median annual salary (50th Percentile)
£70,000
£30,000
£50,000
Median % change year-on-year
+133.33%
-40.00%
+5.26%
75th Percentile
£78,625
£52,500
£67,500
90th Percentile
£83,800
£59,250
£68,250
Cheshire median annual salary
£50,000
£47,513
£47,500
% change year-on-year
+5.23%
+0.03%
-5.00%
Data Lake Job Vacancy Trend in Warrington
Job postings citing Data Lake as a proportion of all IT jobs advertised in Warrington.
Data Lake Salary Trend in Warrington
3-month moving average salary quoted in jobs citing Data Lake in Warrington.
Data Lake Top 11 Co-occurring Skills and Capabilities in Warrington
For the 6 months to 3 June 2025, job vacancies citing Data Lake 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 Warrington region with a requirement for Data Lake.
Data Lake Co-occurring Skills and Capabilities in Warrington 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:
