The following table is for comparison with the above and includes summary statistics for all contract IT job vacancies advertised in Manchester. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of contract jobs in our overall sample.
Contract vacancies in Manchester with a recognized job title
1,456
1,829
2,522
% of contract IT jobs with a recognized job title
95.98%
96.62%
97.53%
Number of daily rates quoted
1,007
1,360
1,979
10th Percentile
£313
£313
£224
25th Percentile
£400
£410
£381
Median daily rate (50th Percentile)
£500
£500
£475
Median % change year-on-year
-
+5.26%
+11.76%
75th Percentile
£586
£588
£575
90th Percentile
£694
£663
£650
North West median daily rate
£493
£500
£475
% change year-on-year
-1.40%
+5.26%
+11.76%
Number of hourly rates quoted
84
55
62
10th Percentile
£12.07
£14.10
£11.36
25th Percentile
£13.31
£20.00
£11.82
Median hourly rate
£25.10
£35.00
£17.50
Median % change year-on-year
-28.30%
+100.00%
+7.83%
75th Percentile
£62.50
£48.13
£23.69
90th Percentile
£73.75
£68.40
£33.75
North West median hourly rate
£26.53
£30.54
£20.31
% change year-on-year
-13.15%
+50.37%
+12.47%
Azure Data Engineer Job Vacancy Trend in Manchester
Job postings that featured Azure Data Engineer in the job title as a proportion of all IT jobs advertised in Manchester.
Azure Data Engineer Contractor Daily Rate Trend in Manchester
3-month moving average daily rate quoted in jobs citing Azure Data Engineer in Manchester.
Azure Data Engineer Skill Set Top 16 Co-occurring Skills and Capabilities in Manchester
For the 6 months to 30 April 2024, Azure Data Engineer contract job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all contract job ads across the Manchester region featuring Azure Data Engineer in the job title.
Azure Data Engineer Skill Set Co-occurring Skills and Capabilities in Manchester by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
