Hybrid Full-Stack Analytics Engineer

Oliver Wyman; Lisboa; Híbrido; EUR 42 000 - 65 000; Tempo integral

Resumo da oferta

Oliver Wyman is building a Lisbon hub and seeks a Full Stack Software Engineer for the Data & Analytics team. The role combines data analytics with software development, emphasizing MEAN/MERN, React, and Python FastAPI.

You will craft tools and platforms for data exploration, visualization, and reporting, while embracing scalable microservices and CI/CD practices in a pragmatic, collaborative environment.

Qualificações

• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.
• 3+ years of professional software engineering experience.
• Experience with Python, preferably FastAPI.
• Experience with MEAN/MERN stack (Node.js, Express.js, Angular/React, MongoDB).
• Experience with SQL and NoSQL databases.
• Styling: CSS, Tailwind, Bootstrap, Sass.
• API integrations and JSON data handling.
• Git, CI/CD pipelines, and Agile development.

Responsabilidades

• Contribute to design and development of applications using MEAN/MERN stack and Python FastAPI.
• Develop and maintain tools for data exploration, visualization, and reporting.
• Design with microservices and API-first development in mind.
• Develop and deploy applications with container technologies (Docker, Kubernetes).
• Work on front-end interfaces using HTML5, CSS3, JavaScript/TypeScript and React.
• Improve front-end performance for speed and scalability.

Conhecimentos

React

JavaScript/TypeScript

Python

FastAPI

UI/UX

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

MongoDB

Express.js

Angular

React

Node.js

FastAPI

Docker

Kubernetes

Descrição da oferta de emprego

Oliver Wyman is building a Lisbon hub and seeks a Full Stack Software Engineer for the Data & Analytics team. The role combines data analytics with software development, emphasizing MEAN/MERN, React, and Python FastAPI.

You will craft tools and platforms for data exploration, visualization, and reporting, while embracing scalable microservices and CI/CD practices in a pragmatic, collaborative environment.