The following table is for comparison with the above and includes summary statistics for all contract IT job vacancies advertised in Wiltshire. 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 Wiltshire with a recognized job title
850
1,020
844
% of contract IT jobs with a recognized job title
90.14%
94.01%
95.37%
Number of daily rates quoted
637
840
630
10th Percentile
£302
£350
£305
25th Percentile
£463
£456
£425
Median daily rate (50th Percentile)
£550
£550
£525
Median % change year-on-year
-
+4.76%
+7.69%
75th Percentile
£650
£669
£638
90th Percentile
£725
£723
£688
South West median daily rate
£514
£525
£500
% change year-on-year
-2.05%
+5.00%
+8.11%
Number of hourly rates quoted
27
12
23
10th Percentile
£12.79
£25.13
£15.18
25th Percentile
£14.25
£61.13
£25.25
Median hourly rate
£16.50
£65.50
£54.00
Median % change year-on-year
-74.81%
+21.30%
+20.00%
75th Percentile
£74.00
£77.50
£68.30
90th Percentile
-
£86.50
£69.41
South West median hourly rate
£55.00
£64.07
£45.20
% change year-on-year
-14.16%
+41.75%
+6.35%
Snowflake Data Engineer Job Vacancy Trend in Wiltshire
Job postings that featured Snowflake Data Engineer in the job title as a proportion of all IT jobs advertised in Wiltshire.
Snowflake Data Engineer Contractor Daily Rate Trend in Wiltshire
3-month moving average daily rate quoted in jobs citing Snowflake Data Engineer in Wiltshire.
Snowflake Data Engineer Skill Set Top 10 Co-occurring Skills and Capabilities in Wiltshire
For the 6 months to 26 May 2024, Snowflake 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 Wiltshire region featuring Snowflake Data Engineer in the job title.
Snowflake Data Engineer Skill Set Co-occurring Skills and Capabilities in Wiltshire 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:
