The table below provides summary statistics and salary benchmarking for jobs advertised in Lewes requiring Ubuntu skills. It covers permanent job vacancies from the 6 months leading up to 12 January 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
12 Jan 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
2 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Ubuntu |
1 |
0 |
0 |
| As % of all permanent jobs in Lewes |
16.67% |
- |
- |
| As % of the Operating Systems category |
100.00% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£30,000 |
- |
- |
| Median annual salary (50th Percentile) |
£35,000 |
- |
- |
| 75th Percentile |
£40,000 |
- |
- |
| 90th Percentile |
- |
- |
- |
| East Sussex median annual salary |
£35,000 |
£49,479 |
- |
| % change year-on-year |
-29.26% |
- |
- |
Ubuntu falls under the Operating Systems category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring operating system skills in Lewes.
| Permanent vacancies with a requirement for operating system skills |
1 |
1 |
0 |
| As % of all permanent jobs advertised in Lewes |
16.67% |
25.00% |
- |
| Number of salaries quoted |
1 |
1 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£30,000 |
£36,250 |
- |
| Median annual salary (50th Percentile) |
£35,000 |
£37,500 |
- |
| Median % change year-on-year |
-6.67% |
- |
- |
| 75th Percentile |
£40,000 |
£38,750 |
- |
| 90th Percentile |
- |
- |
- |
| East Sussex median annual salary |
£60,000 |
£50,000 |
£50,000 |
| % change year-on-year |
+20.00% |
- |
-9.09% |
Ubuntu
Job Vacancy Trend in Lewes
Historical trend showing the proportion of permanent IT job postings citing Ubuntu relative to all permanent IT jobs advertised in Lewes.
Ubuntu
Salary Trend in Lewes
Salary distribution trend for jobs in Lewes citing Ubuntu.
Ubuntu
Co-Occurring Skills & Capabilities in Lewes 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:
