Data Engineering
Redbridge > Ilford
The table below provides summary statistics and salary benchmarking for jobs advertised in Ilford requiring Data Engineering skills. It covers permanent job vacancies from the 6 months leading up to 26 February 2026, with comparisons to the same periods in the previous two years.
| 6 months to 26 Feb 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 3 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Data Engineering | 1 | 0 | 0 |
| As % of all permanent jobs in Ilford | 33.33% | - | - |
| As % of the Processes & Methodologies category | 33.33% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Redbridge median annual salary | - | - | - |
All Process & Methodology Skills
Ilford
Data Engineering falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Ilford.
| Permanent vacancies with a requirement for process or methodology skills | 3 | 72 | 24 |
| As % of all permanent jobs advertised in Ilford | 100.00% | 100.00% | 100.00% |
| Number of salaries quoted | 1 | 4 | 5 |
| 10th Percentile | - | £26,850 | £26,786 |
| 25th Percentile | £27,500 | £27,750 | - |
| Median annual salary (50th Percentile) | £30,000 | £37,250 | £27,965 |
| Median % change year-on-year | -19.46% | +33.20% | -50.94% |
| 75th Percentile | £32,500 | £49,250 | - |
| 90th Percentile | - | - | - |
| Redbridge median annual salary | £32,000 | £37,250 | £27,965 |
| % change year-on-year | -14.09% | +33.20% | -49.15% |
Data Engineering
Job Vacancy Trend in Ilford
Historical trend showing the proportion of permanent IT job postings citing Data Engineering relative to all permanent IT jobs advertised in Ilford.
Data Engineering
Co-Occurring Skills & Capabilities in Ilford 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: