Data Engineering Job Trends in High Wycombe

Data Engineering
Buckinghamshire > High Wycombe

The table below provides summary statistics and salary benchmarking for jobs advertised in High Wycombe requiring Data Engineering skills. It covers permanent job vacancies from the 6 months leading up to 27 February 2026, with comparisons to the same periods in the previous two years.

6 months to
27 Feb 2026
Same period 2025 Same period 2024
Rank 14 - -
Rank change year-on-year - - -
Permanent jobs citing Data Engineering 1 0 0
As % of all permanent jobs in High Wycombe 0.84% - -
As % of the Processes & Methodologies category 1.85% - -
Number of salaries quoted 1 0 0
Median annual salary (50th Percentile) £45,000 - -
Buckinghamshire median annual salary £52,500 £87,500 £90,000
% change year-on-year -40.00% -2.78% +12.50%

All Process & Methodology Skills
High Wycombe

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 High Wycombe.

Permanent vacancies with a requirement for process or methodology skills 54 34 110
As % of all permanent jobs advertised in High Wycombe 45.38% 97.14% 88.71%
Number of salaries quoted 40 27 73
10th Percentile £30,250 £41,000 £31,300
25th Percentile £36,875 £41,750 £38,000
Median annual salary (50th Percentile) £45,000 £60,000 £41,500
Median % change year-on-year -25.00% +44.58% -24.55%
75th Percentile £60,000 £80,000 £60,000
90th Percentile £65,000 £93,000 £74,000
Buckinghamshire median annual salary £50,000 £57,500 £49,500
% change year-on-year -13.04% +16.16% -5.71%

Data Engineering
Job Vacancy Trend in High Wycombe

Historical trend showing the proportion of permanent IT job postings citing Data Engineering relative to all permanent IT jobs advertised in High Wycombe.

Data Engineering job vacancy trend in High Wycombe

Data Engineering
Co-Occurring Skills & Capabilities in High Wycombe 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:

Cloud Services
1 1 (100.00%) Azure
Database & Business Intelligence
1 1 (100.00%) Metadata
1 1 (100.00%) RDBMS
1 1 (100.00%) Relational Database
1 1 (100.00%) SQL Server
Job Titles
1 1 (100.00%) Data Engineer
Miscellaneous
1 1 (100.00%) Public Cloud
Processes & Methodologies
1 1 (100.00%) Cybersecurity
1 1 (100.00%) Data Architecture
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Pipeline
1 1 (100.00%) Data Strategy
1 1 (100.00%) ETL
1 1 (100.00%) Metadata Management
Quality Assurance & Compliance
1 1 (100.00%) Data Quality
1 1 (100.00%) GDPR
Vendors
1 1 (100.00%) Microsoft
1 1 (100.00%) Oracle