Python Developer

London, UK

Permanent

Note: Need Active SC Clearence

Job Description:

We are seeking a highly skilled and versatile Senior Developer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Developer will be responsible for both front-end and back-end development, with a focus on Python, including the challenging but rewarding task of reverse engineering an existing codebase to integrate new features and improvements. This role requires a strong understanding of software development principles, experience with various programming languages and frameworks, and a passion for building high-quality, scalable, and maintainable software. Drive the development of MVPs, ensuring timely delivery and alignment with business goals. Key Responsibilities:  Full-Stack Development: o Contribute to both front-end and back-end development of applications and APIs interacting with the Azure Databricks platform. o Develop user interfaces using modern front-end frameworks (e.g., React, Angular, Vue.js) and ensure a seamless user experience. o Develop robust and efficient back-end services and APIs using Python.  Python Development: o Develop and maintain Python code for data processing, API development, and integration with the Azure Databricks environment. o Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). o Collaborate with cross-functional teams to build and enhance banking applications o Work closely with UI/UX Designers to integrate visualizations seamlessly into web applications or other platforms o Work on data interfaces to connect various systems within the bank. o Write unit and integration tests to ensure code quality and reliability.  .NET Development (Optional): o Develop and maintain .NET code for back-end services, APIs, and integrations with other systems. o Utilise relevant .NET frameworks and technologies (e.g., ASP.NET Core, C#, Entity Framework). o Write unit and integration tests to ensure code quality and reliability.  Reverse Engineering: o Analyse and understand existing codebases (potentially Python) to identify areas for improvement, bug fixes, and new feature implementation. o Document findings and create clear specifications for changes. o Implement changes while maintaining the stability and functionality of the existing system.  API Development & Integration: o Design and develop RESTful APIs for data access and integration with other systems. o Document APIs using OpenAPI (Swagger) or similar specifications. o Ensure API security and performance.  Database Interaction: o Work with various databases (e.g., SQL Server, Azure SQL Database, NoSQL databases) to store and retrieve data. o Write efficient database queries and optimise database performance.  Testing & Quality Assurance: o Write unit, integration, and end-to-end tests to ensure code quality and reliability. o Participate in code reviews and contribute to improving code quality.  Collaboration & Communication: o Collaborate closely with other developers, data engineers, and other team members. o Communicate technical concepts effectively to both technical and non-technical audiences. Essential Skills & Experience:  10+ years of experience in software development, with a focus on both front-end and back-end development.  Strong proficiency in Python.  Experience with front-end frameworks (e.g., React, Angular, Vue.js).  Experience with API development and integration (RESTful APIs).  Experience working with databases (SQL and NoSQL).  Experience with version control systems (e.g., Git).  Solid understanding of software development principles and best practices.  Excellent problem-solving and debugging skills.  Strong communication and teamworkskills.  Demonstratable experience of reverse engineering existing codebases.  Experience with Azure cloud platform and services.  Experience with Azure Databricks.  Experience with containerisation (Docker) and orchestration (Kubernetes).  Experience with CI/CD pipelines.  Experience with testing frameworks (e.g., pytest, xUnit).  Familiarity with economic data or financial markets.

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