The following table is for comparison with the above and includes summary statistics for all contract IT job vacancies advertised in Reading. 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 Reading with a recognized job title
1,096
988
1,293
% of contract IT jobs with a recognized job title
92.96%
95.64%
95.57%
Number of daily rates quoted
628
668
882
10th Percentile
£213
£363
£177
25th Percentile
£413
£460
£390
Median daily rate (50th Percentile)
£540
£550
£500
Median % change year-on-year
-1.82%
+10.00%
+5.26%
75th Percentile
£623
£657
£600
90th Percentile
£688
£721
£656
Berkshire median daily rate
£513
£525
£491
% change year-on-year
-2.38%
+6.92%
+9.11%
Number of hourly rates quoted
51
23
7
10th Percentile
£35.00
£45.50
£12.30
25th Percentile
£52.90
£53.00
£17.63
Median hourly rate
£61.60
£65.00
£26.00
Median % change year-on-year
-5.23%
+150.00%
-40.23%
75th Percentile
£74.66
£74.40
£32.50
90th Percentile
£87.46
£79.19
£33.50
Berkshire median hourly rate
£58.65
£56.89
£21.00
% change year-on-year
+3.10%
+170.88%
-0.24%
Databuild Engineer Job Vacancy Trend in Reading
Job postings that featured Databuild Engineer in the job title as a proportion of all IT jobs advertised in Reading.
Databuild Engineer Contractor Daily Rate Trend in Reading
3-month moving average daily rate quoted in jobs citing Databuild Engineer in Reading.
Databuild Engineer Skill Set Top 17 Co-occurring Skills and Capabilities in Reading
For the 6 months to 5 May 2024, Databuild 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 Reading region featuring Databuild Engineer in the job title.
Databuild Engineer Skill Set Co-occurring Skills and Capabilities in Reading 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:
