PySpark Jobs in Blackburn

PySpark - Spark Python API
Lancashire > Blackburn

The table below provides summary statistics for permanent job vacancies advertised in Blackburn requiring PySpark skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited PySpark over the 6 months leading up to 4 May 2025, comparing them to the same period in the previous two years.

6 months to
4 May 2025
Same period 2024 Same period 2023
Rank 44 - -
Rank change year-on-year - - -
Permanent jobs citing PySpark 1 0 0
As % of all permanent jobs advertised in Blackburn 0.38% - -
As % of the Libraries, Frameworks & Software Standards category 50.00% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £63,750 - -
Median annual salary (50th Percentile) £67,500 - -
75th Percentile £71,250 - -
90th Percentile - - -
Lancashire median annual salary £67,500 - -

All Software Libraries and Frameworks
Blackburn

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

Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 2 12 10
As % of all permanent jobs advertised in Blackburn 0.76% 13.04% 37.04%
Number of salaries quoted 2 12 8
10th Percentile £50,357 - £40,250
25th Percentile £52,589 £40,000 £45,313
Median annual salary (50th Percentile) £58,777 £60,000 £50,000
Median % change year-on-year -2.04% +20.00% +16.28%
75th Percentile £66,248 £68,125 -
90th Percentile £69,249 £77,500 £61,250
Lancashire median annual salary £50,055 £50,000 £47,886
% change year-on-year +0.11% +4.42% -4.23%

PySpark
Co-occurring Skills and Capabilities in Blackburn 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
1 1 (100.00%) Azure Synapse Analytics
1 1 (100.00%) Power Platform
Database & Business Intelligence
1 1 (100.00%) Data Lake
1 1 (100.00%) Data Warehouse
1 1 (100.00%) Power BI
General
1 1 (100.00%) Finance
1 1 (100.00%) Legal
1 1 (100.00%) Retail
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Azure Data Engineer
1 1 (100.00%) Azure Engineer
1 1 (100.00%) Data Engineer
1 1 (100.00%) Senior
1 1 (100.00%) Senior Data Engineer
Processes & Methodologies
1 1 (100.00%) Analytics
1 1 (100.00%) Business Intelligence
1 1 (100.00%) CI/CD
1 1 (100.00%) Coaching
1 1 (100.00%) Continuous Improvement
1 1 (100.00%) Data Analytics
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Ingestion
1 1 (100.00%) Data Pipeline
1 1 (100.00%) Data Visualisation
1 1 (100.00%) Decision-Making
1 1 (100.00%) DevOps
1 1 (100.00%) ETL
1 1 (100.00%) Mentoring
1 1 (100.00%) Problem-Solving
1 1 (100.00%) Translating Business Requirements
1 1 (100.00%) Visualisation
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
Qualifications
1 1 (100.00%) DBS Check
Vendors
1 1 (100.00%) Microsoft