Python Technical Architect

Senior Python Engineer – Financial & Scientific Models

 

 

Note for the recruiter: We are looking for a capable and experienced Python developer; when submitting candidates please highlight previous Python project experience, specifically writing more complex Python codes and not just simple scripts. Python is often used as a utility language, and many candidates have used it in the past for simple tasks and can accumulate ‘years of experience’ through this kind of usage. We are looking for someone with experience building production-quality Python financial or scientific modelling code.

 

What role you will play in our team

• As part of an integrated project team consisting of software engineers, data scientists, and computational engineers, contribute to a diverse Python codebase that models Carbon Capture and Sequestration systems

• Take a lead role in organizing and applying software engineering standards to the existing modelling codebase, re-writing it to make it more robust, maintainable, and extensible

What you will do

• Work with the data scientists and computational engineers to understand the existing Python financial and scientific models, refactoring prototype models into production-quality code

• Architect code changes to improve performance, maintainability, or extensibility as needed

• Work with the team to establish software engineering best practices, including coding standards, code reviews and other standard techniques

• Work with the data team to improve data interfaces between the models and the data layer

Skills and Qualifications

• Bachelor’s degree in computer science, engineering, quantitative sciences, or mathematics; alternatively significant practical software project experience

• 5+ years of meaningful Python project experience, with code complex enough to require modular or object-oriented Python code

• Proficient with pandas and numpy libraries; capable of optimizing performance of code that uses them

• Experience integrating testing frameworks (e.g. pytest), writing unit tests, and organizing CI/CD pipelines for Python code

• Good technical communication and collaboration skills; experience working in Agile teams

Preferred Qualifications/ Experience

• Experience writing financial models in Python

• Experience using Databricks or Palantir

• Experience with writing Spark code in Python or with other parallelization techniques and distributed computing frameworks

 

• Top 3 skill sets/technologies required for qualification:

1. Expert at all aspects of Python development

2. Data Science experience in developing scientific/financial models

3. Experience with Palantir and/or Databricks