We are looking for a Full-Stack Python Developer with strong Flask and front-end skills to join our software team. This is a hybrid (once every 2 weeks) role based in Bryanston. The Full-Stack Python Developer will play a key role in designing, building, and maintaining internal web applications that sit on top of our existing data platforms. You will be responsible for developing both backend and frontend components, ensuring seamless integration with internal systems, and delivering simple, intuitive tools for non-technical users.
Main responsibilities
Build and maintain python-based web applications to expose internal data products and tools.
Develop fast, responsive, user-friendly front-ends using HTML, HTMX, CSS, and JavaScript.
Integrate web apps into existing internal systems (e.g., via iframes or embedded HTML).
Collaborate closely with data scientists to consume datasets (dataframes, SQL tables, APIs) and turn them into usable workflows and UI-driven tools.
Work with Python datasets (Pandas, SQLAlchemy) to transform, filter, and present data.
Implement asynchronous workflows where needed (background jobs, long-running tasks, async calls).
Use Git and GitHub effectively for branching, pull requests, reviews, and collaborative development.
Write SQL queries to connect to, join, and retrieve data from pre-built datasets.
Manage deployment basics, including running Flask apps behind production web servers (nginx, gunicorn, waitress, etc.).
Implement logging and monitoring to track behaviour, diagnose issues, and ensure reliability.
Apply security and authentication awareness, including session management, input validation, and safe handling of user data.
Apply sensible UX judgement to create clean layouts, intuitive forms, and efficient user flows.
Contribute to documentation (READMEs, setup guides, and simple user documentation).
Write and maintain basic unit and integration tests for critical logic
Minimum requirements
3+ years of professional development experience (or a strong portfolio showing equivalent skill).
Bachelors Degree in Computer Science, Engineering, Biology or any similar quantitative field.
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