Data Engineering Job Trends in Surbiton

Data Engineering
Kingston Upon Thames > Surbiton

The table below provides summary statistics and salary benchmarking for jobs advertised in Surbiton citing Data Engineering skills. It covers permanent job vacancies from the 6 months leading up to 14 November 2026, with comparisons to the same periods in the previous two years.

6 months to
14 Nov 2026
Same period 2025 Same period 2024
Rank 9 - -
Rank change year-on-year - - -
Permanent jobs citing Data Engineering 1 0 0
As % of all permanent jobs in Surbiton 2.70% - -
As % of the Processes & Methodologies category 3.33% - -
Number of salaries quoted 1 0 0
Median annual salary (50th Percentile) £100,000 - -
Kingston Upon Thames median annual salary £100,000 - -

All Process & Methodology Skills
Surbiton

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 citing process or methodology skills in Surbiton.

6 months to
14 Nov 2026
Same period 2025 Same period 2024
Permanent vacancies citing process or methodology skills 30 12 10
As % of all permanent jobs advertised in Surbiton 81.08% 100.00% 100.00%
Number of salaries quoted 22 5 9
10th Percentile £33,750 - -
25th Percentile £40,000 £50,000 £25,500
Median annual salary (50th Percentile) £50,000 £60,000 £42,500
Median % change year-on-year -16.67% +41.18% -29.17%
75th Percentile £63,125 - £55,000
90th Percentile £66,000 - £61,000
Kingston Upon Thames median annual salary £50,000 £60,000 £50,000
% change year-on-year -16.67% +20.00% -13.42%

Data Engineering Job Vacancy Trend in Surbiton

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

Data Engineering job vacancy trend in Surbiton

Data Engineering Co-Occurring Skills & Capabilities in Surbiton by Category

The table below expands on the one above by listing co-occurrences one category at a time. It covers the same employment type, locality and period, with up to 20 co-occurrences in each category.