The table below provides summary statistics and contractor rates for jobs advertised in Telford requiring Data Engineering skills. It covers contract job vacancies from the 6 months leading up to 12 October 2025, with comparisons to the same periods in the previous two years.
Data Engineering falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring process or methodology skills in Telford.
Contract vacancies with a requirement for process or methodology skills
171
69
38
As % of all contract IT jobs advertised in Telford
95.00%
86.25%
88.37%
Number of daily rates quoted
130
63
21
10th Percentile
£348
£298
£405
25th Percentile
£416
£338
£450
Median daily rate (50th Percentile)
£514
£434
£500
Median % change year-on-year
+18.35%
-13.15%
-5.66%
75th Percentile
£538
£517
£573
90th Percentile
£549
£567
£588
Shropshire median daily rate
£513
£434
£480
% change year-on-year
+18.09%
-9.56%
-9.43%
Number of hourly rates quoted
1
0
0
Median hourly rate
£25.15
-
-
Shropshire median hourly rate
£31.31
£23.60
-
% change year-on-year
+32.65%
-
-
Data Engineering Job Vacancy Trend in Telford
Historical trend showing the proportion of contract IT job postings citing Data Engineering relative to all contract IT jobs advertised in Telford.
Data Engineering Daily Rate Trend in Telford
Contractor daily rate distribution trend for jobs in Telford citing Data Engineering.
Data Engineering Top 8 Co-Occurring Skills & Capabilities in Telford
For the 6 months to 12 October 2025, contractor job vacancies citing Data Engineering also mentioned 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 Telford region with a requirement for Data Engineering.
Data Engineering Co-Occurring Skills & Capabilities in Telford 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:
