Data Lakes
Kent > Maidstone
The table below provides summary statistics and salary benchmarking for jobs advertised in Maidstone requiring Data Lake skills. It covers permanent job vacancies from the 6 months leading up to 22 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
22 Aug 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
27 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Data Lake |
1 |
0 |
0 |
| As % of all permanent jobs in Maidstone |
0.48% |
- |
- |
| As % of the Database & Business Intelligence category |
5.26% |
- |
- |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| Kent median annual salary |
- |
£82,500 |
£63,500 |
| % change year-on-year |
- |
+29.92% |
+20.95% |
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 Maidstone.
| Permanent vacancies with a requirement for database or business intelligence skills |
19 |
5 |
23 |
| As % of all permanent jobs advertised in Maidstone |
9.05% |
5.32% |
16.79% |
| Number of salaries quoted |
18 |
3 |
21 |
| 10th Percentile |
£32,375 |
- |
£46,250 |
| 25th Percentile |
£36,875 |
£65,000 |
£49,000 |
| Median annual salary (50th Percentile) |
£48,750 |
£70,000 |
£60,000 |
| Median % change year-on-year |
-30.36% |
+16.67% |
+26.32% |
| 75th Percentile |
£60,000 |
£75,000 |
£65,000 |
| 90th Percentile |
- |
- |
- |
| Kent median annual salary |
£50,000 |
£60,000 |
£65,000 |
| % change year-on-year |
-16.67% |
-7.69% |
+18.18% |
Data Lake
Job Vacancy Trend in Maidstone
Historical trend showing the proportion of permanent IT job postings citing Data Lake relative to all permanent IT jobs advertised in Maidstone.
Data Lake
Co-Occurring Skills & Capabilities in Maidstone by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
