Data Lake Jobs in Surbiton

Data Lakes
Kingston Upon Thames > Surbiton

The following table provides summary statistics for permanent job vacancies advertised in Surbiton with a requirement for Data Lake skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Lake over the 6 months to 28 April 2024 with a comparison to the same period in the previous 2 years.

6 months to
28 Apr 2024
Same period 2023 Same period 2022
Rank 16 - 16
Rank change year-on-year - - -
Permanent jobs citing Data Lake 5 0 1
As % of all permanent jobs advertised in Surbiton 8.77% - 3.85%
As % of the Database & Business Intelligence category 100.00% - 12.50%
Number of salaries quoted 5 0 0
10th Percentile - - -
25th Percentile £62,500 - -
Median annual salary (50th Percentile) £65,000 - -
75th Percentile £67,500 - -
90th Percentile - - -
Kingston Upon Thames median annual salary £65,000 - -

All Database and Business Intelligence Skills
Surbiton

Data Lake is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Surbiton with a requirement for database or business intelligence skills.

Permanent vacancies with a requirement for database or business intelligence skills 5 11 8
As % of all permanent jobs advertised in Surbiton 8.77% 44.00% 30.77%
Number of salaries quoted 5 10 0
10th Percentile - £46,250 -
25th Percentile £62,500 £66,250 -
Median annual salary (50th Percentile) £65,000 £76,250 -
Median % change year-on-year -14.75% - -
75th Percentile £67,500 £85,000 -
90th Percentile - £85,500 -
Kingston Upon Thames median annual salary £65,000 £77,500 £85,000
% change year-on-year -16.13% -8.82% +54.55%

Data Lake
Job Vacancy Trend in Surbiton

Job postings citing Data Lake as a proportion of all IT jobs advertised in Surbiton.

Job vacancy trend for Data Lake in Surbiton

Data Lake
Co-occurring Skills and Capabilities in Surbiton 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:

Cloud Services
1 5 (100.00%) Azure
1 5 (100.00%) Azure Cosmos DB
1 5 (100.00%) Azure Data Factory
1 5 (100.00%) Cloud Computing
Database & Business Intelligence
1 5 (100.00%) Azure SQL Database
1 5 (100.00%) SQL Server Analysis Services
1 5 (100.00%) SQL Server Integration Services
1 5 (100.00%) SQL Server Reporting Services
Job Titles
1 5 (100.00%) Azure Data Engineer
1 5 (100.00%) Azure Engineer
1 5 (100.00%) Data Engineer
Processes & Methodologies
1 5 (100.00%) Analytics
1 5 (100.00%) Business Intelligence
1 5 (100.00%) Data Architecture
1 5 (100.00%) Data Integration
1 5 (100.00%) Data Management
1 5 (100.00%) Data Pipeline
Programming Languages
1 5 (100.00%) SQL
Quality Assurance & Compliance
1 5 (100.00%) Data Quality
Vendors
1 5 (100.00%) Databricks
1 5 (100.00%) Microsoft