Senior Python Platform Engineer: Scale Data Notebooks

Barclays; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Barclays is seeking a Python Platform Engineer in London to design, develop, and improve analytics environments for quants, data scientists, and engineers. The role focuses on notebook experiences with Jupyter and VSCode, distributed compute with Dask/Spark, and scalable runtimes for model development, pricing, and risk analytics.

You will lead features, define roadmaps, and ensure reliability while partnering with Markets Front Office users.

Qualifications

• Strong experience in Python application development and infrastructure including environment management and packaging.
• Excellent verbal and written communication skills to build and maintain relationships with business colleagues
• Experience leading a project team delivering development projects
• Understanding of working with data in Python, across data engineering and analytics.

Responsibilities

• Development and delivery of high-quality software solutions using Python and related tools.
• Collaborate with product managers, designers, and engineers to define requirements and strategies.
• Participate in code reviews and promote code quality and knowledge sharing.
• Stay informed of industry trends and contribute to technical communities.
• Adhere to secure coding practices and implement effective unit testing.

Skills

Python

Environment management

Packaging

Tools

Kubernetes

AWS

Job description

Barclays is seeking a Python Platform Engineer in London to design, develop, and improve analytics environments for quants, data scientists, and engineers. The role focuses on notebook experiences with Jupyter and VSCode, distributed compute with Dask/Spark, and scalable runtimes for model development, pricing, and risk analytics.

You will lead features, define roadmaps, and ensure reliability while partnering with Markets Front Office users.