Senior Python Engineer – Energy Pricing Platforms Experience is required. Remote Poland, Bulgaria, Hungary, Czech Republic

Role Overview This role supports the ongoing development, operation, and continuous enhancement of a strategic internal pricing platform used to deliver structured, transparent, and scalable price determination across energy marketing. The platform orchestrates complex data flows, integrates multiple external systems and market data sources, and executes pricing and calculation models across a diverse portfolio of energy products. A key focus of this role is driving the transition from partially manual pricing processes to fully automated, system-driven solutions. Given the complexity of pricing logic, system integrations, and workflow orchestration, this position requires a professional who combines strong energy market knowledge with hands-on expertise across modern backend and frontend technologies. Key Responsibilities • Design, develop, and maintain Python-based backend services (FastAPI, Django, Flask) to implement pricing logic, calculation workflows, and automation pipelines. • Build and integrate data-driven pricing systems, connecting external market data providers and internal platforms via RESTful APIs. • Contribute to system architecture and design, ensuring scalable, modular, and maintainable solutions with full traceability of pricing calculations. • Develop and enhance frontend applications (Angular, React, or similar) to support data input, monitoring, visualization, and analysis of pricing outputs. • Ensure seamless end-to-end integration between frontend and backend components. • Apply best engineering practices, including clean code, peer reviews, and automated testing (unit, integration, end-to-end). • Support DevOps and operational excellence, including CI/CD pipelines, Docker, cloud deployment, and system monitoring (e.g., Datadog). • Work within an agile environment, collaborating closely with Product Owners and Tech Leads to translate complex pricing and business requirements into scalable, automated solutions. Required Skills & Experience Domain Expertise (Critical Requirement) This role is not purely technical — strong energy domain knowledge is essential. • Deep understanding of energy markets and pricing mechanisms You must understand how energy markets function, including market data, pricing models, and product structures, and be able to apply this knowledge in a practical, system-driven environment. • Experience with pricing systems and decision frameworks Proven experience working with pricing frameworks, calculation engines, or data-driven decision systems within energy or commodities markets is required. • Ability to translate pricing complexity into automation You should be capable of converting complex business rules and pricing logic into structured, automated system solutions, ensuring scalability, consistency, and auditability. Technical Expertise (Mandatory) • Strong hands-on experience in Python backend development (FastAPI, Django, Flask, or similar). • Solid experience with RESTful APIs and system integrations. • Proficiency in modern frontend frameworks (Angular, React, or equivalent). • Experience with cloud platforms, Docker, and CI/CD pipelines. • Strong understanding of software architecture, modular design, and scalable systems. Quality & Engineering Practices • Experience with automated testing strategies and clean code principles. • Familiarity with monitoring, logging, and observability tools. • Comfortable working in agile, cross-functional environments. Key Success Factors • Ability to combine deep domain expertise with strong technical delivery. • Analytical, structured thinking with a focus on pricing accuracy, traceability, and scalability. • Proactive contribution to architecture and continuous improvement initiatives. • Strong collaboration and communication skills across technical and business stakeholders.