The following table provides summary statistics for contract job vacancies advertised in Edinburgh with a requirement for Spark SQL skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Spark SQL over the 6 months to 28 April 2024 with a comparison to the same period in the previous 2 years.
Spark SQL is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all contract job vacancies advertised in Edinburgh with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
146
307
293
As % of all contract IT jobs advertised in Edinburgh
18.05%
23.63%
15.09%
Number of daily rates quoted
106
254
208
10th Percentile
£381
£401
£374
25th Percentile
£431
£438
£436
Median daily rate (50th Percentile)
£497
£489
£500
Median % change year-on-year
+1.64%
-2.20%
+17.65%
75th Percentile
£575
£543
£575
90th Percentile
£669
£621
£641
Scotland median daily rate
£475
£495
£480
% change year-on-year
-4.04%
+3.13%
+12.94%
Number of hourly rates quoted
0
0
4
10th Percentile
-
-
£15.44
25th Percentile
-
-
£16.76
Median hourly rate
-
-
£21.75
75th Percentile
-
-
£29.00
90th Percentile
-
-
£33.50
Scotland median hourly rate
£37.07
£35.00
£26.00
% change year-on-year
+5.91%
+34.62%
-35.00%
Spark SQL Job Vacancy Trend in Edinburgh
Job postings citing Spark SQL as a proportion of all IT jobs advertised in Edinburgh.
Spark SQL Top 12 Co-occurring Skills and Capabilities in Edinburgh
For the 6 months to 28 April 2024, contractor job vacancies citing Spark SQL also mentioned 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 Edinburgh region with a requirement for Spark SQL.
Spark SQL Co-occurring Skills and Capabilities in Edinburgh 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:
