The table below provides summary statistics for permanent job vacancies advertised in Brighton with a requirement for knowledge and experience of Databricks products and/or services. Included is a benchmarking guide to the salaries offered in vacancies that have cited Databricks over the 6 months to 16 May 2024 with a comparison to the same period in the previous 2 years.
The figures below represent the IT labour market in general and are not representative of salaries within Databricks.
Databricks is in the Vendor Products and Services category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies with a requirement for knowledge or experience of vendor products and services advertised in Brighton.
Permanent vacancies with a requirement for knowledge or experience of vendor products and services
155
256
261
As % of all permanent jobs advertised in Brighton
35.55%
39.26%
24.35%
Number of salaries quoted
143
210
201
10th Percentile
£23,000
£38,975
£33,000
25th Percentile
£25,760
£42,625
£45,000
Median annual salary (50th Percentile)
£50,000
£51,000
£55,000
Median % change year-on-year
-1.96%
-7.27%
+22.22%
75th Percentile
£61,875
£60,000
£75,222
90th Percentile
£90,000
£66,375
£85,000
East Sussex median annual salary
£47,500
£51,000
£55,000
% change year-on-year
-6.86%
-7.27%
+22.22%
Databricks Job Vacancy Trend in Brighton
Job postings citing Databricks as a proportion of all IT jobs advertised in Brighton.
Databricks Salary Trend in Brighton
3-month moving average salary quoted in jobs citing Databricks in Brighton.
Databricks Top 12 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 16 May 2024, job vacancies citing Databricks also mentioned 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 Brighton region with a requirement for Databricks.
Databricks Co-occurring Skills and Capabilities in Brighton 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: