Kubernetes (k8s)
Oxfordshire > Banbury
The table below provides summary statistics and salary benchmarking for jobs advertised in Banbury requiring Kubernetes skills. It covers permanent job vacancies from the 6 months leading up to 7 May 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
7 May 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
17 |
6 |
- |
| Rank change year-on-year |
-11 |
- |
- |
| Permanent jobs citing Kubernetes |
1 |
1 |
0 |
| As % of all permanent jobs in Banbury |
0.85% |
7.14% |
- |
| As % of the Systems Management category |
25.00% |
100.00% |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£53,750 |
- |
- |
| Median annual salary (50th Percentile) |
£57,500 |
- |
- |
| 75th Percentile |
£61,250 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Oxfordshire median annual salary |
£55,750 |
£50,750 |
£72,500 |
| % change year-on-year |
+9.85% |
-30.00% |
+7.41% |
Kubernetes falls under the Systems Management category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring systems management skills in Banbury.
| Permanent vacancies with a requirement for systems management skills |
4 |
1 |
2 |
| As % of all permanent jobs advertised in Banbury |
3.39% |
7.14% |
2.11% |
| Number of salaries quoted |
4 |
0 |
2 |
| 10th Percentile |
£57,500 |
- |
£46,000 |
| 25th Percentile |
£63,125 |
- |
£47,500 |
| Median annual salary (50th Percentile) |
£68,750 |
- |
£52,500 |
| 75th Percentile |
£72,813 |
- |
£55,000 |
| 90th Percentile |
£73,375 |
- |
- |
| Oxfordshire median annual salary |
£55,000 |
£50,750 |
£43,000 |
| % change year-on-year |
+8.37% |
+18.02% |
-21.82% |
Kubernetes
Job Vacancy Trend in Banbury
Historical trend showing the proportion of permanent IT job postings citing Kubernetes relative to all permanent IT jobs advertised in Banbury.
Kubernetes
Co-Occurring Skills & Capabilities in Banbury 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:
