Data Engineering Job Trends in Sussex

Data Engineering
South East > Sussex

The table below provides summary statistics and salary benchmarking for jobs advertised in Sussex requiring Data Engineering skills. It covers permanent job vacancies from the 6 months leading up to 28 November 2025, with comparisons to the same periods in the previous two years.

6 months to
28 Nov 2025
Same period 2024 Same period 2023
Rank 12 24 -
Rank change year-on-year +12 - -
Permanent jobs citing Data Engineering 2 1 0
As % of all permanent jobs in Sussex 3.28% 0.66% -
As % of the Processes & Methodologies category 5.41% 0.83% -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £50,000 - -
Median annual salary (50th Percentile) £55,000 - -
75th Percentile £60,000 - -
90th Percentile - - -
South East median annual salary £65,000 £65,000 £72,500
% change year-on-year - -10.34% -3.33%

All Process and Methodology Skills
Sussex

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 Sussex.

Permanent vacancies with a requirement for process or methodology skills 37 120 14
As % of all permanent jobs advertised in Sussex 60.66% 78.95% 100.00%
Number of salaries quoted 33 58 13
10th Percentile £26,000 £35,000 £46,500
25th Percentile £26,250 £45,000 £47,500
Median annual salary (50th Percentile) £40,000 £50,000 £50,000
Median % change year-on-year -20.00% - -
75th Percentile £47,500 £60,000 £52,500
90th Percentile £64,000 £78,625 -
South East median annual salary £49,000 £56,430 £54,763
% change year-on-year -13.17% +3.04% -0.43%

Data Engineering
Job Vacancy Trend in Sussex

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

Data Engineering job vacancy trend in Sussex

Data Engineering
Co-Occurring Skills & Capabilities in Sussex 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 2 (100.00%) dbt
1 2 (100.00%) Fivetran
1 2 (100.00%) GCP
1 2 (100.00%) Power Platform
1 2 (100.00%) Snowflake
Database & Business Intelligence
1 2 (100.00%) BigQuery
1 2 (100.00%) Data Warehouse
1 2 (100.00%) Looker
1 2 (100.00%) Power BI
Development Applications
1 2 (100.00%) Git
Job Titles
1 2 (100.00%) GCP Engineer
Processes & Methodologies
1 2 (100.00%) Agile
1 2 (100.00%) Analytics
1 2 (100.00%) Business Intelligence
1 2 (100.00%) CI/CD
1 2 (100.00%) Dashboard Development
1 2 (100.00%) Data Analytics
1 2 (100.00%) Data Migration
1 2 (100.00%) Data Modelling
1 2 (100.00%) Kanban
1 2 (100.00%) Mentoring
1 2 (100.00%) Migration
1 2 (100.00%) Project Delivery
1 2 (100.00%) Scrum
1 2 (100.00%) Visualisation
Programming Languages
1 2 (100.00%) SQL
Quality Assurance & Compliance
1 2 (100.00%) Data Quality
Vendors
1 2 (100.00%) Google