Python Engineer – Platform Development

5 days ago


Montreal, Quebec, Canada Calliere Group Full time

Join a team delivering a next-generation platform that arms Finance with reliable, governed datasets for planning and decision-making. You'll engineer Python-based data solutions that feed forecasting models, automate routine processes, and integrate machine learning approaches to improve accuracy and speed. This is a hands-on technical role requiring close collaboration with finance stakeholders and platform engineers.

Your responsibilities
  • Construct scalable Python workflows that extract, validate, and prepare financial data for consumption by forecasting and analytical models

  • Architect data schemas, RESTful APIs, and service contracts to ensure consistency, auditability, and ease of integration

  • Translate finance team requirements into actionable technical deliverables using iterative, Agile delivery practices

  • Integrate machine learning and automation capabilities to reduce manual effort and enhance forecast precision

  • Build orchestration and scheduling logic to manage model execution flows, handle dependencies, and standardize inputs/outputs

  • Diagnose and remediate pipeline failures and data anomalies, implementing sustainable fixes

  • Uphold code quality standards via version control, automated testing frameworks, and continuous integration/deployment pipelines

  • Author technical specifications, API documentation, and operational playbooks to support platform maintenance and audit requirements

Requirements
  • Demonstrated Python engineering experience with focus on automation and data processing; familiarity with Pandas or NumPy preferred

  • Working knowledge of data science fundamentals, including structured data handling and data quality assurance

  • Strong collaboration and communication skills for working across technical and business teams

  • Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent professional background)

  • Practical experience with Agile methodologies and the full software development lifecycle

  • Proficiency with relational databases, SQL, and core data structures

  • Eagerness to adopt emerging technologies and AI-assisted development workflows; exposure to Java or another object-oriented language is beneficial


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