As of 6 May 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Engineer salary in Leatherhead.
6 months to 6 May 2025
Same period 2024
Same period 2023
Rank
6
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Engineer
1
0
0
As % of all permanent jobs advertised in Leatherhead
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Leatherhead. 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 permanent jobs in our overall sample.
Permanent vacancies in Leatherhead with a recognized job title
20
296
121
% of permanent jobs with a recognized job title
90.91%
95.79%
97.58%
Number of salaries quoted
18
59
47
10th Percentile
£40,125
£35,550
£38,500
25th Percentile
£42,188
£41,250
£52,500
Median annual salary (50th Percentile)
£50,000
£49,000
£57,500
Median % change year-on-year
+2.04%
-14.78%
+4.55%
75th Percentile
£57,813
£54,375
£58,750
90th Percentile
£65,750
£65,200
£68,000
Surrey median annual salary
£55,000
£50,000
£60,000
% change year-on-year
+10.00%
-16.67%
+8.11%
Data Engineer Job Vacancy Trend in Leatherhead
Job postings that featured Data Engineer in the job title as a proportion of all IT jobs advertised in Leatherhead.
Data Engineer Salary Trend in Leatherhead
3-month moving average salary quoted in jobs citing Data Engineer in Leatherhead.
Data Engineer Skill Set Top 17 Co-occurring Skills and Capabilities in Leatherhead
For the 6 months to 6 May 2025, Data Engineer job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Leatherhead region featuring Data Engineer in the job title.
Data Engineer Skill Set Co-occurring Skills and Capabilities in Leatherhead by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
