PySpark Contracts in Liverpool

PySpark - Spark Python API
Merseyside > Liverpool

The table below provides summary statistics for contract job vacancies advertised in Liverpool 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 24 - -
Rank change year-on-year - - -
Contract jobs citing PySpark 1 0 0
As % of all contract jobs advertised in Liverpool 0.74% - -
As % of the Libraries, Frameworks & Software Standards category 3.33% - -
Number of daily rates quoted 1 0 0
10th Percentile - - -
25th Percentile £463 - -
Median daily rate (50th Percentile) £475 - -
75th Percentile £488 - -
90th Percentile - - -
Merseyside median daily rate £475 - -

All Software Libraries and Frameworks
Liverpool

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 Liverpool.

Contract vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 30 31 32
As % of all contract IT jobs advertised in Liverpool 22.06% 16.67% 11.76%
Number of daily rates quoted 20 13 26
10th Percentile £388 - £331
25th Percentile £450 £350 £425
Median daily rate (50th Percentile) £545 £450 £481
Median % change year-on-year +21.11% -6.49% -7.23%
75th Percentile £628 £515 £547
90th Percentile £641 £550 £631
Merseyside median daily rate £545 £450 £500
% change year-on-year +21.11% -10.00% +9.29%

PySpark
Job Vacancy Trend in Liverpool

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

Job vacancy trend for PySpark in Liverpool

PySpark
Co-occurring Skills and Capabilities in Liverpool 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%) AWS
Database & Business Intelligence
1 1 (100.00%) Amazon Redshift
General
1 1 (100.00%) Tech for Good
Job Titles
1 1 (100.00%) Data Engineer
Miscellaneous
1 1 (100.00%) Renewable Energy
Processes & Methodologies
1 1 (100.00%) Data Engineering
1 1 (100.00%) Decision-Making
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL