Microsoft Azure Data Factory
Manchester > Salford
The table below provides summary statistics and salary benchmarking for jobs advertised in Salford requiring Azure Data Factory skills. It covers permanent job vacancies from the 6 months leading up to 16 April 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
16 Apr 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
23 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Azure Data Factory |
1 |
0 |
0 |
| As % of all permanent jobs in Salford |
0.53% |
- |
- |
| As % of the Cloud Services category |
3.23% |
- |
- |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| Manchester median annual salary |
£65,000 |
£67,500 |
£51,000 |
| % change year-on-year |
-3.70% |
+32.35% |
-21.54% |
Azure Data Factory falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Salford.
| Permanent vacancies with a requirement for cloud computing skills |
31 |
26 |
35 |
| As % of all permanent jobs advertised in Salford |
16.49% |
65.00% |
27.56% |
| Number of salaries quoted |
17 |
14 |
22 |
| 10th Percentile |
£45,000 |
£31,500 |
£53,750 |
| 25th Percentile |
£66,091 |
£32,500 |
£58,175 |
| Median annual salary (50th Percentile) |
£70,000 |
£35,000 |
£72,500 |
| Median % change year-on-year |
+100.00% |
-51.72% |
+31.82% |
| 75th Percentile |
£90,000 |
£54,250 |
£76,250 |
| 90th Percentile |
- |
£73,467 |
£82,210 |
| Manchester median annual salary |
£65,000 |
£62,500 |
£57,500 |
| % change year-on-year |
+4.00% |
+8.70% |
- |
Azure Data Factory
Job Vacancy Trend in Salford
Historical trend showing the proportion of permanent IT job postings citing Azure Data Factory relative to all permanent IT jobs advertised in Salford.
Azure Data Factory
Co-Occurring Skills & Capabilities in Salford 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:
