The table below provides summary statistics for permanent job vacancies advertised in High Wycombe 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 19 July 2025, comparing them to the same period in the previous two years.
6 months to 19 Jul 2025
Same period 2024
Same period 2023
Rank
11
23
-
Rank change year-on-year
+12
-
-
Permanent jobs citing Data Lake
1
1
0
As % of all permanent jobs advertised in High Wycombe
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 High Wycombe.
Permanent vacancies with a requirement for database or business intelligence skills
11
10
12
As % of all permanent jobs advertised in High Wycombe
35.48%
7.41%
14.29%
Number of salaries quoted
11
7
7
10th Percentile
£58,500
-
£36,050
25th Percentile
£64,250
£28,250
£36,250
Median annual salary (50th Percentile)
£70,000
£29,000
£42,500
Median % change year-on-year
+141.38%
-31.76%
-26.09%
75th Percentile
-
£44,375
£44,375
90th Percentile
-
£60,500
£45,400
Buckinghamshire median annual salary
£51,000
£45,000
£57,500
% change year-on-year
+13.33%
-21.74%
+4.55%
Data Lake Job Vacancy Trend in High Wycombe
Job postings citing Data Lake as a proportion of all IT jobs advertised in High Wycombe.
Data Lake Salary Trend in High Wycombe
3-month moving average salary quoted in jobs citing Data Lake in High Wycombe.
Data Lake Top 20 Co-occurring Skills and Capabilities in High Wycombe
For the 6 months to 19 July 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 High Wycombe region with a requirement for Data Lake.
Data Lake Co-occurring Skills and Capabilities in High Wycombe 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:
