Microsoft Power Automate (Formerly Microsoft Flow)
Central London > Southwark
The table below provides summary statistics and salary benchmarking for jobs advertised in Southwark requiring Power Automate skills. It covers permanent job vacancies from the 6 months leading up to 1 October 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
1 Oct 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
20 |
- |
16 |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Power Automate |
1 |
0 |
1 |
| As % of all permanent jobs in Southwark |
2.04% |
- |
3.33% |
| As % of the Cloud Services category |
3.45% |
- |
4.00% |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| Central London median annual salary |
£66,250 |
£61,500 |
£65,000 |
| % change year-on-year |
+7.72% |
-5.38% |
-3.70% |
Power Automate 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 Southwark.
| Permanent vacancies with a requirement for cloud computing skills |
29 |
26 |
25 |
| As % of all permanent jobs advertised in Southwark |
59.18% |
49.06% |
83.33% |
| Number of salaries quoted |
7 |
11 |
17 |
| 10th Percentile |
- |
£29,000 |
- |
| 25th Percentile |
£36,250 |
£50,313 |
£47,500 |
| Median annual salary (50th Percentile) |
£37,500 |
£75,000 |
£60,000 |
| Median % change year-on-year |
-50.00% |
+25.00% |
-15.79% |
| 75th Percentile |
£60,000 |
£89,375 |
£72,500 |
| 90th Percentile |
£72,250 |
£108,000 |
£80,500 |
| Central London median annual salary |
£80,000 |
£75,000 |
£72,500 |
| % change year-on-year |
+6.67% |
+3.45% |
- |
Power Automate
Job Vacancy Trend in Southwark
Historical trend showing the proportion of permanent IT job postings citing Power Automate relative to all permanent IT jobs advertised in Southwark.
Power Automate
Co-Occurring Skills & Capabilities in Southwark 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:
