The table below provides summary statistics for permanent job vacancies advertised in Edinburgh requiring BigQuery skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited BigQuery over the 6 months leading up to 28 May 2025, comparing them to the same period in the previous two years.
6 months to 28 May 2025
Same period 2024
Same period 2023
Rank
74
99
136
Rank change year-on-year
+25
+37
+16
Permanent jobs citing BigQuery
11
5
9
As % of all permanent jobs advertised in Edinburgh
BigQuery falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Edinburgh.
Permanent vacancies with a requirement for database or business intelligence skills
159
269
435
As % of all permanent jobs advertised in Edinburgh
18.25%
17.90%
22.25%
Number of salaries quoted
91
154
236
10th Percentile
£25,313
£38,700
£41,250
25th Percentile
£49,750
£46,306
£49,688
Median annual salary (50th Percentile)
£60,000
£61,000
£65,000
Median % change year-on-year
-1.64%
-6.15%
+18.18%
75th Percentile
£82,751
£72,433
£78,269
90th Percentile
£98,474
£80,000
£97,500
Scotland median annual salary
£55,000
£52,500
£60,000
% change year-on-year
+4.76%
-12.50%
+9.09%
BigQuery Job Vacancy Trend in Edinburgh
Job postings citing BigQuery as a proportion of all IT jobs advertised in Edinburgh.
BigQuery Salary Trend in Edinburgh
3-month moving average salary quoted in jobs citing BigQuery in Edinburgh.
BigQuery Top 23 Co-occurring Skills and Capabilities in Edinburgh
For the 6 months to 28 May 2025, job vacancies citing BigQuery 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 permanent job ads across the Edinburgh region with a requirement for BigQuery.
BigQuery 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:
