Python Developer

Python Developer We are looking for a Python Developer to join our team, which provides Information Systems (IS) solutions for short-term (Day-Ahead and Intraday) optimization and algorithmic trading of thermal and hydro-storage assets in Western and Central Europe. The role involves modelling and full or partial automation of complex business flows related to bidding, trading, plan nomination, and reporting. The ideal candidate must possess both strong technical expertise and the ability to communicate effectively with traders and business stakeholders. The development approach is agile and is focused on the value brought to business, in short, medium and long term. Key responsibilities involve: Develop, maintain, enhance, and deploy Python-based backend applications, including REST APIs, scheduling workflows (Airflow), and other backend services, to support short-term energy market optimization. Maintain high coding standards and best practices for clean, modular, and well-documented code. Ensure code quality, maintainability, and adaptability to evolving business requirements and regulatory changes from TSOs (Transmission System Operators). Collaborate with traders, analysts, and business teams to understand requirements and translate them into efficient technical solutions. Solve complex problems independently and propose optimizations or simplifications for existing workflows. Active and constructive participation in Agile ceremonies, explaining current tasks and showing interest for other colleagues' work Expected hard skills Python expertise – At least 3 years of professional experience in developing applications, with Python as a preferred or primary programming language. Must be well-versed in modern, recommended best practices within the Python ecosystem. Problem-solving ability – Strong analytical and debugging skills, capable of solving issues independently. Software quality focus – Write clean, maintainable and scalable code, easy to change and adaptable to changing business needs. Strong emphasis on code readability, modularity, and best coding practices. Scheduling & Automation – Good working knowledge of Apache Airflow as a scheduling tool for automation. Understanding of airflow components and concepts to manage and automate workflows efficiently. Data handling and processing – Experience working with structured and unstructured data, APIs, and databases (both SQL and NoSQL). Good knowledge of SQL database schema design and manipulation, ensuring efficient data storage and retrieval. Working knowledge of Object-Relational Mapping (ORM) tools ( preferably SQLAlchemy) for managing database interactions in Python applications Business process modelling – Ability to analyze, design, and implement complex business logic related to energy market optimization with a structured and maintainable approach. Version control and CI/CD – Proficiency in Git and experience with containerized and cloud-based solutions (preferably Azure or AWS). Solid working knowledge of continuous integration and deployment (CI/CD) workflows. Expected soft skills: Strong communication skills – Ability to explain technical concepts clearly to both technical and non-technical stakeholders. Capable of actively listening, processing business requirements, and translating them into effective solutions Independence & initiative – Self-sufficient in problem-solving, capable of making informed decisions and proactively engaging the right people when necessary. Demonstrates ownership and drives projects forward without constant supervision. Proactive problem-solving – Anticipates potential issues, identifies risks early, and proposes solutions before problems escalate. Works methodically to ensure timely resolution. Adaptability & resilience – Thrives in a fast-paced, dynamic environment where business requirements frequently evolve. Quickly adjusts to new priorities while maintaining focus on delivering maximum quality solutions. Deadline & priority management - Effectively balances multiple tasks, respects deadlines, and maintains efficiency under time constraints. Education and professional background: Master's degree (preferred) – Computer science, Engineering, Physics, or a related technical field, ideally with an energy or optimization focus. Relevant experience in the energy sector, trading, or optimization is an advantage. Languages: English (mandatory) – Very fluent, as it is the main language of communication. French or Dutch (optional but beneficial) – While not required, they are widely spoken in the office.