Amazon Elastic Container Service (Amazon ECS)
West London > Richmond upon Thames
The table below provides summary statistics and contractor rates for jobs advertised in Richmond upon Thames requiring Amazon ECS skills. It covers contract job vacancies from the 6 months leading up to 8 May 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 8 May 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 24 | - | - |
| Rank change year-on-year | - | - | - |
| Contract jobs citing Amazon ECS | 1 | 0 | 0 |
| As % of all contract jobs in Richmond upon Thames | 2.13% | - | - |
| As % of the Cloud Services category | 3.03% | - | - |
| Number of daily rates quoted | 1 | 0 | 0 |
| Median daily rate (50th Percentile) | £560 | - | - |
| West London median daily rate | £725 | - | £625 |
| % change year-on-year | - | - | +4.17% |
All Cloud Computing Skills
Richmond upon Thames
Amazon ECS falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring cloud computing skills in Richmond upon Thames.
| Contract vacancies with a requirement for cloud computing skills | 33 | 0 | 20 |
| As % of all contract IT jobs advertised in Richmond upon Thames | 70.21% | - | 54.05% |
| Number of daily rates quoted | 31 | 0 | 19 |
| 10th Percentile | £400 | - | £255 |
| 25th Percentile | £520 | - | £294 |
| Median daily rate (50th Percentile) | £603 | - | £563 |
| Median % change year-on-year | - | - | +25.00% |
| 75th Percentile | £625 | - | £588 |
| 90th Percentile | £638 | - | £600 |
| West London median daily rate | £513 | £450 | £475 |
| % change year-on-year | +13.89% | -5.26% | -19.15% |
Amazon ECS
Job Vacancy Trend in Richmond upon Thames
Historical trend showing the proportion of contract IT job postings citing Amazon ECS relative to all contract IT jobs advertised in Richmond upon Thames.
Amazon ECS
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: