Google BigQuery
UK > UK excluding London
The table below provides summary statistics for permanent job vacancies advertised in the UK excluding London 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 29 May 2025, comparing them to the same period in the previous two years.
| 6 months to 29 May 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 513 | 353 | 613 |
| Rank change year-on-year | -160 | +260 | +54 |
| Permanent jobs citing BigQuery | 67 | 508 | 142 |
| As % of all permanent jobs advertised in the UK excluding London | 0.17% | 0.69% | 0.24% |
| As % of the Database & Business Intelligence category | 1.51% | 4.11% | 1.25% |
| Number of salaries quoted | 54 | 171 | 35 |
| 10th Percentile | £45,375 | £42,500 | £52,500 |
| 25th Percentile | £52,500 | £42,725 | £62,500 |
| Median annual salary (50th Percentile) | £80,000 | £45,249 | £68,823 |
| Median % change year-on-year | +76.80% | -34.25% | +14.71% |
| 75th Percentile | £101,426 | £72,433 | £80,000 |
| 90th Percentile | £141,151 | £100,000 | £87,000 |
| UK median annual salary | £75,000 | £57,500 | £85,000 |
| % change year-on-year | +30.43% | -32.35% | +25.00% |
All Database and Business Intelligence Skills
UK excluding London
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 the UK excluding London.
| Permanent vacancies with a requirement for database or business intelligence skills | 4,428 | 12,350 | 11,336 |
| As % of all permanent jobs advertised in the UK excluding London | 11.36% | 16.69% | 19.51% |
| Number of salaries quoted | 2,753 | 8,108 | 6,597 |
| 10th Percentile | £31,250 | £32,000 | £34,000 |
| 25th Percentile | £42,500 | £40,833 | £41,250 |
| Median annual salary (50th Percentile) | £55,000 | £52,500 | £55,000 |
| Median % change year-on-year | +4.76% | -4.55% | +4.76% |
| 75th Percentile | £68,750 | £65,000 | £70,000 |
| 90th Percentile | £83,738 | £78,975 | £81,250 |
| UK median annual salary | £62,000 | £57,500 | £65,000 |
| % change year-on-year | +7.83% | -11.54% | +8.33% |
BigQuery
Job Vacancy Trend in the UK excluding London
Job postings citing BigQuery as a proportion of all IT jobs advertised in the UK excluding London.
BigQuery
Salary Trend in the UK excluding London
3-month moving average salary quoted in jobs citing BigQuery in the UK excluding London.
BigQuery
Salary Histogram in the UK excluding London
Salary distribution for jobs citing BigQuery in the UK excluding London over the 6 months to 29 May 2025.
BigQuery
Job Locations in the UK excluding London
The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing BigQuery within the UK excluding London region over the 6 months to 29 May 2025. The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.
| Location | Rank Change on Same Period Last Year |
Matching Permanent IT Job Ads |
Median Salary Past 6 Months |
Median Salary % Change on Same Period Last Year |
Live Jobs |
|---|---|---|---|---|---|
| North of England | -114 | 26 | £80,000 | +76.80% | 241 |
| North West | -61 | 16 | £127,680 | +182.18% | 129 |
| Midlands | +2 | 13 | £55,000 | -4.35% | 177 |
| Scotland | +116 | 11 | £94,637 | +3.39% | 34 |
| South West | +49 | 10 | £98,420 | +39.45% | 109 |
| West Midlands | +21 | 9 | £55,000 | -2.22% | 93 |
| Yorkshire | -8 | 9 | £60,000 | +32.60% | 85 |
| South East | +2 | 5 | £55,000 | +1.85% | 324 |
| East Midlands | +11 | 4 | £55,000 | -45.00% | 73 |
| Wales | +40 | 1 | £75,000 | -33.33% | 25 |
| East of England | +18 | 1 | £45,000 | -36.84% | 132 |
| North East | +1 | 1 | £47,500 | +4.98% | 27 |
| BigQuery UK |
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BigQuery
Co-occurring Skills and Capabilities in the UK excluding 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:
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