PySpark Contracts in Windsor

PySpark - Spark Python API
Berkshire > Windsor

The table below provides summary statistics for contract job vacancies advertised in Windsor requiring PySpark skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited PySpark over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.

6 months to
1 May 2025
Same period 2024 Same period 2023
Rank 14 - -
Rank change year-on-year - - -
Contract jobs citing PySpark 7 0 0
As % of all contract jobs advertised in Windsor 11.67% - -
As % of the Libraries, Frameworks & Software Standards category 28.00% - -
Number of daily rates quoted 3 0 0
10th Percentile £425 - -
25th Percentile £453 - -
Median daily rate (50th Percentile) £500 - -
75th Percentile £504 - -
90th Percentile £506 - -
Berkshire median daily rate £503 £319 £600
% change year-on-year +57.65% -46.88% -4.00%

All Software Libraries and Frameworks
Windsor

PySpark falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring technical specification, industry standards, software libraries and framework skills in Windsor.

Contract vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 25 1 3
As % of all contract IT jobs advertised in Windsor 41.67% 2.44% 23.08%
Number of daily rates quoted 18 1 2
10th Percentile £455 - -
25th Percentile - £475 £425
Median daily rate (50th Percentile) £500 £500 £450
Median % change year-on-year - +11.11% -12.20%
75th Percentile £506 £525 £475
90th Percentile £591 - -
Berkshire median daily rate £500 £525 £550
% change year-on-year -4.71% -4.55% +7.32%

PySpark
Job Vacancy Trend in Windsor

Job postings citing PySpark as a proportion of all IT jobs advertised in Windsor.

Job vacancy trend for PySpark in Windsor

PySpark
Co-occurring Skills and Capabilities in Windsor 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 6 (85.71%) Apache Spark
2 2 (28.57%) Apache
Cloud Services
1 5 (71.43%) Azure
2 3 (42.86%) Azure Data Factory
3 2 (28.57%) Amazon S3
3 2 (28.57%) Azure DevOps
Database & Business Intelligence
1 5 (71.43%) Big Data
2 4 (57.14%) MongoDB
2 4 (57.14%) Spark SQL
3 2 (28.57%) Apache Hive
3 2 (28.57%) Data Warehouse
3 2 (28.57%) Hadoop
3 2 (28.57%) MySQL
3 2 (28.57%) PostgreSQL
3 2 (28.57%) Relational Database
4 1 (14.29%) Azure SQL Database
4 1 (14.29%) Data Lake
4 1 (14.29%) NoSQL
4 1 (14.29%) SQL Server
Job Titles
1 4 (57.14%) Data Engineer
2 2 (28.57%) Big Data Developer
2 2 (28.57%) Developer
2 2 (28.57%) Hadoop Developer
3 1 (14.29%) Azure Data Engineer
3 1 (14.29%) Azure Engineer
3 1 (14.29%) Microsoft Engineer
Libraries, Frameworks & Software Standards
1 4 (57.14%) Kafka
2 2 (28.57%) JDBC
Miscellaneous
1 1 (14.29%) Product Ownership
Processes & Methodologies
1 7 (100.00%) Data Pipeline
2 4 (57.14%) ETL
3 2 (28.57%) Agile
3 2 (28.57%) Analytics
3 2 (28.57%) API Management
3 2 (28.57%) Artificial Intelligence
3 2 (28.57%) Data Collection
3 2 (28.57%) Data Engineering
3 2 (28.57%) Data Ingestion
3 2 (28.57%) Data Integration
3 2 (28.57%) Data Security
3 2 (28.57%) DevOps
3 2 (28.57%) High Availability
3 2 (28.57%) Problem-Solving
3 2 (28.57%) Storage Management
3 2 (28.57%) Test Scripting
4 1 (14.29%) Data Privacy
4 1 (14.29%) Decision-Making
4 1 (14.29%) Regulatory Compliance
4 1 (14.29%) User Stories
Programming Languages
1 7 (100.00%) Python
1 7 (100.00%) SQL
2 2 (28.57%) T-SQL
Vendors
1 3 (42.86%) Databricks
1 3 (42.86%) Microsoft