PySpark / SQL Developer - Python

Harvey Nash; London; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading investment bank in London is seeking a PySpark/SQL Developer for a hybrid contract role. The ideal candidate will have a Bachelor's degree in Computer Science and proven experience with PySpark and automation, contributing to the development and optimization of data pipelines. Collaborating with data engineers and analysts, this role will ensure data quality and support business decision-making through thorough data analysis.

Qualifications

• Proven experience as a Python Developer focusing 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.
• Perform data analysis and generate reports to support business decision-making.

Skills

Data Processing

Automation

Python

Problem Solving

Communication

Education

Bachelor's degree in Computer Science

Tools

PySpark

SQL

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:

13

Posted:

17.06.2025

Expiry Date:

01.08.2025

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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.