Big Data Jobs in Surbiton

Big Data
Kingston Upon Thames > Surbiton

The table below provides summary statistics for permanent job vacancies advertised in Surbiton requiring Big Data skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Big Data over the 6 months leading up to 6 May 2025, comparing them to the same period in the previous two years.

6 months to
6 May 2025
Same period 2024 Same period 2023
Rank 3 - -
Rank change year-on-year - - -
Permanent jobs citing Big Data 2 0 0
As % of all permanent jobs advertised in Surbiton 18.18% - -
As % of the Database & Business Intelligence category 100.00% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Kingston Upon Thames median annual salary - - -

All Database and Business Intelligence Skills
Surbiton

Big Data falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Surbiton.

Permanent vacancies with a requirement for database or business intelligence skills 2 5 11
As % of all permanent jobs advertised in Surbiton 18.18% 8.77% 44.00%
Number of salaries quoted 0 5 10
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 £61,250 £65,000 £77,500
% change year-on-year -5.77% -16.13% -8.82%

Big Data
Job Vacancy Trend in Surbiton

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

Job vacancy trend for Big Data in Surbiton

Big Data
Salary Trend in Surbiton

3-month moving average salary quoted in jobs citing Big Data in Surbiton.

Salary trend for Big Data in Surbiton

Big Data
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:

Application Platforms
1 2 (100.00%) Apache Spark
Applications
1 2 (100.00%) Microsoft Excel
Cloud Services
1 2 (100.00%) Azure
1 2 (100.00%) Azure Data Factory
1 2 (100.00%) Power Platform
Database & Business Intelligence
1 2 (100.00%) Data Warehouse
1 2 (100.00%) Power BI
1 2 (100.00%) SQL Server Integration Services
1 2 (100.00%) SQL Server Reporting Services
Job Titles
1 2 (100.00%) Analyst
1 2 (100.00%) Business Intelligence Analyst
Libraries, Frameworks & Software Standards
1 2 (100.00%) Pandas
Processes & Methodologies
1 2 (100.00%) Analytics
1 2 (100.00%) Business Intelligence
1 2 (100.00%) Data Modelling
1 2 (100.00%) Data Pipeline
1 2 (100.00%) Data Security
1 2 (100.00%) Data Visualisation
1 2 (100.00%) ETL
1 2 (100.00%) Performance Tuning
1 2 (100.00%) Visualisation
Programming Languages
1 2 (100.00%) Bash
1 2 (100.00%) Data Analysis Expressions
1 2 (100.00%) PowerShell
1 2 (100.00%) Python
1 2 (100.00%) SQL