dbt (data build tool)
South London > Kingston Upon Thames
The table below provides summary statistics and salary benchmarking for jobs advertised in Kingston Upon Thames requiring dbt skills. It covers permanent job vacancies from the 6 months leading up to 13 March 2026, with comparisons to the same periods in the previous two years.
| 6 months to 13 Mar 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 32 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing dbt | 2 | 0 | 0 |
| As % of all permanent jobs in Kingston Upon Thames | 1.08% | - | - |
| As % of the Cloud Services category | 3.85% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| South London median annual salary | - | - | - |
All Cloud Computing Skills
Kingston Upon Thames
dbt falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Kingston Upon Thames.
| Permanent vacancies with a requirement for cloud computing skills | 52 | 38 | 48 |
| As % of all permanent jobs advertised in Kingston Upon Thames | 27.96% | 26.95% | 19.92% |
| Number of salaries quoted | 15 | 14 | 40 |
| 10th Percentile | £41,250 | - | £35,650 |
| 25th Percentile | £42,500 | £25,500 | £43,313 |
| Median annual salary (50th Percentile) | £47,500 | £58,750 | £59,000 |
| Median % change year-on-year | -19.15% | -0.42% | -15.71% |
| 75th Percentile | £82,500 | £80,625 | £68,750 |
| 90th Percentile | - | £85,000 | £76,950 |
| South London median annual salary | £42,500 | £60,000 | £65,000 |
| % change year-on-year | -29.17% | -7.69% | +20.93% |
dbt
Job Vacancy Trend in Kingston Upon Thames
Historical trend showing the proportion of permanent IT job postings citing dbt relative to all permanent IT jobs advertised in Kingston Upon Thames.
dbt
Co-Occurring Skills & Capabilities in Kingston Upon Thames 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: