Python Developer

• Design, develop, and maintain Python-based applications, services, and APIs.
• Work with cross-functional teams to gather and analyse project requirements.
• Write clean, efficient, and reusable code following best practices.
• Develop automation scripts, data pipelines, or backend components depending on project needs.
• Debug and resolve issues across development and production environments.
• Implement testing frameworks and participate in code reviews.
• Contribute to architectural discussions and continuous process improvements.
• Document technical specifications, processes, and system designs.

We are looking for a skilled and enthusiastic Python Developer to join our engineering team. This role is open to talent across all experience ranges-from graduates with strong programming fundamentals to senior engineers capable of leading architectural decisions and complex development tasks.

This is a fully remote opportunity within the UK. All applicants must have full legal eligibility to work in the UK., * Strong understanding of Python fundamentals and object-oriented programming.

• Familiarity with frameworks like Django or Flask (preferred).
• Basic knowledge of SQL/NoSQL databases.
• Understanding of REST APIs and version control systems (Git).
• Strong problem-solving and communication skills.
• Proven hands-on experience developing applications using Python.
• Proficiency with Django, Flask, FastAPI, or similar frameworks.
• Strong experience with databases (PostgreSQL, MySQL, MongoDB, etc.).
• Knowledge of API development, microservices, and integration patterns.
• Familiarity with cloud services (AWS, Azure, GCP).
• Experience writing unit/integration tests (PyTest, Unittest).
• Ability to work autonomously and mentor junior developers.
• Deep expertise in Python application architecture and scalable backend design.
• Experience leading technical projects or engineering teams.
• Strong understanding of distributed systems, asynchronous programming, and microservices.
• Advanced knowledge of DevOps, CI/CD, Docker, Kubernetes, and cloud-native systems.
• Ability to drive best coding practices and influence engineering strategies.
• Experience with data engineering tools (Pandas, NumPy, Airflow, Spark).
• Exposure to machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of message queues (RabbitMQ, Kafka).
• Experience building automation tools or data pipelines.
• Familiarity with Agile methodologies and DevOps culture.

Job Types: Full-time, Permanent

Pay: £40,000.00-£90,000.00 per year

Benefits:

• Work from home