Python Developer

At DIGITALL we dont just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries.

This is your job:

• Design, develop, enhance, and support modular Python services and REST APIs for the EDGE V4 Calculation Engine.
• Translate validated building science formulas, rules, assumptions, and dependency flows into accurate, maintainable, and testable Python components.
• Develop and integrate calculation capabilities for energy, water, materials, embodied carbon, baseline standards, scenario simulation, explainability, anomaly management, and cost-related functions as prioritized by the product backlog.
• Build reusable calculation libraries, data models, validation rules, configuration services, and version-controlled datasets using Python, FastAPI, Pydantic, SQL, and PostgreSQL or approved equivalent technologies.
• Integrate calculation services with the EDGE V4 application through well-defined API contracts, structured inputs and outputs, secure authentication, and reliable error handling.
• Optimize calculation performance, database queries, caching, asynchronous processing, and service scalability for global usage and high-volume calculation scenarios. Create and maintain automated unit, integration, regression, and API tests using PyTest or approved equivalent frameworks; support system integration testing and user acceptance testing.
• Maintain technical documentation, API specifications, calculation traceability, data dictionaries, setup guides, deployment notes, and support runbooks.
• Participate in solution design, code reviews, backlog refinement, sprint ceremonies, release planning, deployment, defect resolution, and post-deployment support.
• Implement production-grade logging, monitoring, auditability, exception handling, retries, configuration management, and operational support procedures.

Organizational information:

All applications will be treated in strict confidentiality.

Please note that only shortlisted candidates will be invited to an interview.