As of 2 May 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Engineer - BigQuery salary in London.
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in London. 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 permanent jobs in our overall sample.
Permanent vacancies in London with a recognized job title
11,488
22,226
33,689
% of permanent jobs with a recognized job title
90.19%
94.11%
95.07%
Number of salaries quoted
7,483
16,726
24,705
10th Percentile
£41,250
£38,500
£42,500
25th Percentile
£55,000
£51,250
£55,000
Median annual salary (50th Percentile)
£75,000
£70,000
£72,500
Median % change year-on-year
+7.14%
-3.45%
+3.57%
75th Percentile
£100,000
£93,750
£95,000
90th Percentile
£122,500
£115,000
£115,000
England median annual salary
£57,500
£54,000
£60,775
% change year-on-year
+6.48%
-11.15%
+1.29%
BigQuery Data Engineer Job Vacancy Trend in London
Job postings that featured BigQuery Data Engineer in the job title as a proportion of all IT jobs advertised in London.
BigQuery Data Engineer Salary Trend in London
3-month moving average salary quoted in jobs citing BigQuery Data Engineer in London.
BigQuery Data Engineer Skill Set Top 17 Co-occurring Skills and Capabilities in London
For the 6 months to 2 May 2025, BigQuery Data Engineer 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 permanent job ads across the London region featuring BigQuery Data Engineer in the job title.
BigQuery Data Engineer Skill Set Co-occurring Skills and Capabilities in London 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:
