Microsoft Azure Data Factory
South London > Sutton
The table below provides summary statistics and contractor rates for jobs advertised in Sutton requiring Azure Data Factory skills. It covers contract job vacancies from the 6 months leading up to 26 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 26 Aug 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 3 | - | - |
| Rank change year-on-year | - | - | - |
| Contract jobs citing Azure Data Factory | 1 | 0 | 0 |
| As % of all contract jobs in Sutton | 14.29% | - | - |
| As % of the Cloud Services category | 33.33% | - | - |
| Number of daily rates quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £606 | - | - |
| Median daily rate (50th Percentile) | £613 | - | - |
| 75th Percentile | £619 | - | - |
| 90th Percentile | - | - | - |
| South London median daily rate | £523 | £450 | - |
| % change year-on-year | +16.11% | - | - |
All Cloud Computing Skills
Sutton
Azure Data Factory 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 Sutton.
| Contract vacancies with a requirement for cloud computing skills | 3 | 0 | 1 |
| As % of all contract IT jobs advertised in Sutton | 42.86% | - | 20.00% |
| Number of daily rates quoted | 3 | 0 | 1 |
| 10th Percentile | £420 | - | - |
| 25th Percentile | £431 | - | - |
| Median daily rate (50th Percentile) | £450 | - | £450 |
| 75th Percentile | £534 | - | - |
| 90th Percentile | £585 | - | - |
| South London median daily rate | £535 | £491 | £475 |
| % change year-on-year | +9.07% | +3.26% | -9.52% |
Azure Data Factory
Job Vacancy Trend in Sutton
Historical trend showing the proportion of contract IT job postings citing Azure Data Factory relative to all contract IT jobs advertised in Sutton.
Azure Data Factory
Co-Occurring Skills & Capabilities in Sutton 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: