Kusto Query Language (KQL)
West London > Richmond upon Thames
The table below provides summary statistics and salary benchmarking for jobs advertised in Richmond upon Thames requiring Kusto Query Language skills. It covers permanent job vacancies from the 6 months leading up to 16 December 2025, with comparisons to the same periods in the previous two years.
| 6 months to 16 Dec 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 20 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Kusto Query Language | 1 | 0 | 0 |
| As % of all permanent jobs in Richmond upon Thames | 1.27% | - | - |
| As % of the Programming Languages category | 6.67% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £77,500 | - | - |
| Median annual salary (50th Percentile) | £80,000 | - | - |
| 75th Percentile | £82,500 | - | - |
| 90th Percentile | - | - | - |
| West London median annual salary | £80,000 | - | - |
All Programming Languages
Richmond upon Thames
Kusto Query Language falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Richmond upon Thames.
| Permanent vacancies with a requirement for coding skills | 15 | 18 | 13 |
| As % of all permanent jobs advertised in Richmond upon Thames | 18.99% | 33.33% | 33.33% |
| Number of salaries quoted | 7 | 6 | 13 |
| 10th Percentile | £30,950 | £57,963 | £46,000 |
| 25th Percentile | £36,444 | £62,069 | £50,000 |
| Median annual salary (50th Percentile) | £40,138 | £67,500 | £62,500 |
| Median % change year-on-year | -40.54% | +8.00% | +6.38% |
| 75th Percentile | £67,500 | £68,750 | £70,000 |
| 90th Percentile | £73,500 | £86,875 | - |
| West London median annual salary | £49,200 | £66,750 | £60,000 |
| % change year-on-year | -26.29% | +11.25% | +4.35% |
Kusto Query Language
Co-Occurring Skills & Capabilities in Richmond upon Thames 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: