Spark SQL Jobs in the City of Westminster

Apache Spark SQL
Central London > City of Westminster

The following table provides summary statistics for permanent job vacancies advertised in the City of Westminster with a requirement for Spark SQL skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Spark SQL over the 6 months to 4 May 2024 with a comparison to the same period in the previous 2 years.

6 months to
4 May 2024
Same period 2023 Same period 2022
Rank 32 - -
Rank change year-on-year - - -
Permanent jobs citing Spark SQL 1 0 0
As % of all permanent jobs advertised in the City of Westminster 0.60% - -
As % of the Database & Business Intelligence category 1.96% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £53,750 - -
Median annual salary (50th Percentile) £57,500 - -
75th Percentile £61,250 - -
90th Percentile - - -
Central London median annual salary £57,500 £75,000 £66,000
% change year-on-year -23.33% +13.64% -8.97%

All Database and Business Intelligence Skills
City of Westminster

Spark SQL 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 the City of Westminster with a requirement for database or business intelligence skills.

Permanent vacancies with a requirement for database or business intelligence skills 51 28 29
As % of all permanent jobs advertised in the City of Westminster 30.72% 25.00% 17.68%
Number of salaries quoted 21 28 14
10th Percentile £46,250 £51,250 £31,975
25th Percentile £52,500 £61,180 £43,125
Median annual salary (50th Percentile) £75,000 £92,500 £57,500
Median % change year-on-year -18.92% +60.87% +8.49%
75th Percentile £87,500 £111,250 £76,563
90th Percentile £97,500 - £84,625
Central London median annual salary £70,000 £75,000 £70,000
% change year-on-year -6.67% +7.14% -

Spark SQL
Co-occurring Skills and Capabilities in the City of Westminster 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 1 (100.00%) Azure
1 1 (100.00%) Azure Data Factory
Database & Business Intelligence
1 1 (100.00%) Data Lake
1 1 (100.00%) PostgreSQL
Job Titles
1 1 (100.00%) Data Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) PySpark
Processes & Methodologies
1 1 (100.00%) Data Engineering
Programming Languages
1 1 (100.00%) PL/SQL
1 1 (100.00%) Python
1 1 (100.00%) SQL
Vendors
1 1 (100.00%) Databricks