The following table is for comparison with the above and includes summary statistics for all contract IT job vacancies advertised in Birmingham. 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 Birmingham with a recognized job title
700
852
1,275
% of contract IT jobs with a recognized job title
92.59%
96.38%
96.01%
Number of daily rates quoted
493
569
934
10th Percentile
£258
£263
£213
25th Percentile
£338
£378
£363
Median daily rate (50th Percentile)
£450
£500
£475
Median % change year-on-year
-10.00%
+5.26%
+11.76%
75th Percentile
£575
£600
£575
90th Percentile
£675
£700
£688
West Midlands median daily rate
£488
£500
£475
% change year-on-year
-2.50%
+5.26%
+17.28%
Number of hourly rates quoted
40
35
21
10th Percentile
£13.10
£11.40
£12.50
25th Percentile
£15.88
£12.50
£14.00
Median hourly rate
£28.50
£20.00
£17.48
Median % change year-on-year
+42.50%
+14.42%
-2.89%
75th Percentile
£48.75
£24.94
£18.00
90th Percentile
£57.91
£60.50
£20.00
West Midlands median hourly rate
£22.00
£19.50
£17.28
% change year-on-year
+12.82%
+12.85%
+9.71%
Azure Data Engineer Job Vacancy Trend in Birmingham
Job postings that featured Azure Data Engineer in the job title as a proportion of all IT jobs advertised in Birmingham.
Azure Data Engineer Contractor Daily Rate Trend in Birmingham
3-month moving average daily rate quoted in jobs citing Azure Data Engineer in Birmingham.
Azure Data Engineer Skill Set Top 11 Co-occurring Skills and Capabilities in Birmingham
For the 6 months to 4 May 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 Birmingham region featuring Azure Data Engineer in the job title.
Azure Data Engineer Skill Set Co-occurring Skills and Capabilities in Birmingham 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: