PySpark / SQL Developer - Python

Harvey Nash; London; Hybrid; GBP 125,000 - 150,000; Part time

Job summary

A leading investment bank based in London is seeking a PySpark/SQL Developer to join their team on a hybrid contract. The role involves developing and optimizing data processing pipelines, automating ETL processes, and collaborating with data engineers to design data solutions. The ideal candidate has strong skills in PySpark and SQL, along with proven experience in Python development. Competitive compensation offered.

Qualifications

• Proven experience as a Python Developer, with a focus on data processing and automation.
• Strong proficiency in PySpark and Apache Spark.
• Solid understanding of SQL and relational databases.

Responsibilities

• Develop, maintain, and optimize PySpark data processing pipelines.
• Automate data extraction, transformation, and loading (ETL) processes.
• Collaborate with data engineers and analysts to design and implement data solutions.
• Perform data analysis and generate reports to support business decision-making.
• Ensure data quality and integrity throughout the data lifecycle.
• Troubleshoot and resolve data processing and reporting issues.

Skills

PySpark

SQL

Automation

Data Processing

Problem-solving

Teamwork

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Apache Spark

Git

Job description

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

c598340859d0

Job Views:

43

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Pyspark/SQL Developer – Automation/SQL/PySpark – sought by leading investment bank based in London – Hybrid – Contract

Key Responsibilities:

• Develop, maintain, and optimize PySpark data processing pipelines.
• Automate data extraction, transformation, and loading (ETL) processes.
• Collaborate with data engineers and analysts to design and implement data solutions.
• Perform data analysis and generate reports to support business decision-making.
• Ensure data quality and integrity throughout the data lifecycle.
• Troubleshoot and resolve data processing and reporting issues.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Python Developer, with a focus on data processing and automation.
• Strong proficiency in PySpark and Apache Spark.
• Solid understanding of SQL and relational databases.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.