SOQL Job Trends in Liverpool
Salesforce Object Query Language (SOQL)
Merseyside > Liverpool
The table below provides summary statistics and salary benchmarking for jobs advertised in Liverpool citing SOQL skills. It covers permanent job vacancies from the 6 months leading up to 14 November 2026, with comparisons to the same periods in the previous two years.
| 6 months to 14 Nov 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 64 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing SOQL | 1 | 0 | 0 |
| As % of all permanent jobs in Liverpool | 0.096% | - | - |
| As % of the Programming Languages category | 0.69% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £51,250 | - | - |
| Median annual salary (50th Percentile) | £52,500 | - | - |
| 75th Percentile | £53,750 | - | - |
| 90th Percentile | - | - | - |
| Merseyside median annual salary | £52,500 | - | - |
All Programming Languages
Liverpool
SOQL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies citing coding skills in Liverpool.
| 6 months to 14 Nov 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Permanent vacancies citing coding skills | 145 | 75 | 155 |
| As % of all permanent jobs advertised in Liverpool | 13.97% | 15.31% | 26.23% |
| Number of salaries quoted | 107 | 67 | 98 |
| 10th Percentile | £45,000 | £28,250 | - |
| 25th Percentile | £48,424 | £35,000 | £31,250 |
| Median annual salary (50th Percentile) | £70,000 | £50,500 | £46,500 |
| Median % change year-on-year | +38.61% | +8.60% | -8.82% |
| 75th Percentile | £80,000 | £68,375 | £64,688 |
| 90th Percentile | £85,000 | £75,000 | £77,500 |
| Merseyside median annual salary | £65,000 | £50,250 | £46,750 |
| % change year-on-year | +29.35% | +7.49% | -6.50% |
SOQL Co-Occurring Skills & Capabilities in Liverpool by Category
The table below expands on the one above by listing co-occurrences one category at a time. It covers the same employment type, locality and period, with up to 20 co-occurrences in each category.