Data Engineer
Cumbria > Penrith
As of 14 February 2026, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Engineer daily rate in Penrith.
|
|
6 months to
14 Feb 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
1 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Contract jobs requiring a Data Engineer |
2 |
0 |
0 |
| As % of all contract jobs in Penrith |
100.00% |
- |
- |
| As % of the Job Titles category |
100.00% |
- |
- |
| Number of daily rates quoted |
0 |
0 |
0 |
| Median daily rate (50th Percentile) |
- |
- |
- |
| Cumbria median daily rate |
- |
- |
- |
For comparison with the information above, the following table provides summary statistics for all contract IT job vacancies in Penrith. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of contract jobs in our overall sample.
| Contract vacancies in Penrith with a recognized job title |
2 |
0 |
0 |
| % of contract IT jobs with a recognized job title |
100.00% |
- |
- |
| Number of daily rates quoted |
0 |
0 |
0 |
| Median daily rate (50th Percentile) |
- |
- |
- |
| Cumbria median daily rate |
£500 |
£505 |
£625 |
| % change year-on-year |
-0.99% |
-19.20% |
+46.37% |
Data Engineer
Job Vacancy Trend in Penrith
Historical trend showing the proportion of contract IT job postings featuring 'Data Engineer' in the job title relative to all contract IT jobs advertised in Penrith.
Data Engineer Skill Set
Top 3 Co-Occurring Skills & Capabilities in Penrith
For the 6 months to 14 February 2026, Data Engineer contract job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Penrith region featuring Data Engineer in the job title.
Data Engineer Skill Set
Co-Occurring Skills & Capabilities in Penrith 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:
