The following table is for comparison with the above and includes summary statistics for all contract IT job vacancies advertised in Newcastle upon Tyne. 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 Newcastle upon Tyne with a recognized job title
189
310
353
% of contract IT jobs with a recognized job title
89.57%
98.41%
97.51%
Number of daily rates quoted
93
242
280
10th Percentile
£338
£319
£185
25th Percentile
£400
£463
£405
Median daily rate (50th Percentile)
£500
£565
£500
Median % change year-on-year
-11.50%
+13.00%
+11.11%
75th Percentile
£590
£650
£600
90th Percentile
£650
£742
£688
Tyne and Wear median daily rate
£500
£550
£500
% change year-on-year
-9.09%
+10.00%
+11.11%
Number of hourly rates quoted
22
0
9
10th Percentile
£12.66
-
£11.04
25th Percentile
£18.69
-
£13.00
Median hourly rate
£47.50
-
£16.50
Median % change year-on-year
-
-
+29.41%
75th Percentile
£50.00
-
£17.50
90th Percentile
£67.88
-
£18.98
Tyne and Wear median hourly rate
£17.50
-
£17.00
% change year-on-year
-
-
+25.93%
Data Engineer Job Vacancy Trend in Newcastle upon Tyne
Job postings that featured Data Engineer in the job title as a proportion of all IT jobs advertised in Newcastle upon Tyne.
Data Engineer Contractor Daily Rate Trend in Newcastle upon Tyne
3-month moving average daily rate quoted in jobs citing Data Engineer in Newcastle upon Tyne.
Data Engineer Skill Set Top 21 Co-occurring Skills and Capabilities in Newcastle upon Tyne
For the 6 months to 4 May 2024, 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 Newcastle upon Tyne region featuring Data Engineer in the job title.
Data Engineer Skill Set Co-occurring Skills and Capabilities in Newcastle upon Tyne 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:
