The table below provides summary statistics and salary benchmarking for jobs advertised in Manchester requiring SPARQL skills. It covers permanent job vacancies from the 6 months leading up to 28 January 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
28 Jan 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
136 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing SPARQL |
1 |
0 |
0 |
| As % of all permanent jobs in Manchester |
0.032% |
- |
- |
| As % of the Programming Languages category |
0.17% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£81,250 |
- |
- |
| Median annual salary (50th Percentile) |
£82,500 |
- |
- |
| 75th Percentile |
£83,750 |
- |
- |
| 90th Percentile |
- |
- |
- |
| North West median annual salary |
£82,500 |
- |
- |
SPARQL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Manchester.
| Permanent vacancies with a requirement for coding skills |
574 |
900 |
1,304 |
| As % of all permanent jobs advertised in Manchester |
18.32% |
34.59% |
40.40% |
| Number of salaries quoted |
487 |
477 |
1,097 |
| 10th Percentile |
£35,000 |
£38,750 |
£36,250 |
| 25th Percentile |
£47,500 |
£46,250 |
£43,750 |
| Median annual salary (50th Percentile) |
£62,500 |
£60,000 |
£55,000 |
| Median % change year-on-year |
+4.17% |
+9.09% |
-7.60% |
| 75th Percentile |
£75,000 |
£73,886 |
£71,250 |
| 90th Percentile |
£90,000 |
£87,500 |
£80,000 |
| North West median annual salary |
£60,000 |
£55,000 |
£52,500 |
| % change year-on-year |
+9.09% |
+4.76% |
-4.55% |
SPARQL
Job Vacancy Trend in Manchester
Historical trend showing the proportion of permanent IT job postings citing SPARQL relative to all permanent IT jobs advertised in Manchester.
SPARQL
Co-Occurring Skills & Capabilities in Manchester 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:
