The table below provides summary statistics and contractor rates for jobs advertised in Belfast requiring Spark SQL skills. It covers contract job vacancies from the 6 months leading up to 5 December 2025, with comparisons to the same periods in the previous two years.
Spark SQL falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Belfast.
Contract vacancies with a requirement for database or business intelligence skills
34
40
24
As % of all contract IT jobs advertised in Belfast
16.43%
23.95%
18.60%
Number of daily rates quoted
24
15
17
10th Percentile
£374
£415
£180
25th Percentile
£400
£463
£300
Median daily rate (50th Percentile)
£519
£475
£488
Median % change year-on-year
+9.21%
-2.56%
-2.50%
75th Percentile
£645
£538
£500
90th Percentile
£826
£560
£519
County Antrim median daily rate
£519
£475
£488
% change year-on-year
+9.21%
-2.56%
-2.50%
Number of hourly rates quoted
0
1
2
10th Percentile
-
-
£16.01
25th Percentile
-
-
£16.03
Median hourly rate
-
£22.48
£16.06
Median % change year-on-year
-
+39.98%
-
75th Percentile
-
-
£16.09
90th Percentile
-
-
£16.11
County Antrim median hourly rate
-
£22.48
£16.06
% change year-on-year
-
+39.98%
-
Spark SQL Job Vacancy Trend in Belfast
Historical trend showing the proportion of contract IT job postings citing Spark SQL relative to all contract IT jobs advertised in Belfast.
Spark SQL Top 18 Co-Occurring Skills & Capabilities in Belfast
For the 6 months to 5 December 2025, contractor job vacancies citing Spark SQL also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Belfast region with a requirement for Spark SQL.
Spark SQL Co-Occurring Skills & Capabilities in Belfast by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
