Frontend Engineer II - Data Visualization Platform

Ookla; Madrid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

Ookla is seeking a Software Engineer to join a team building next‑generation platforms for data visualization and connectivity insights. You’ll work across the stack with React, Redux Toolkit, Vite, and Node.js to deliver scalable web apps and robust RESTful APIs.

You’ll participate in agile delivery, contribute to UX improvements, and explore AI-assisted tooling to speed up development while maintaining human oversight. Strong collaboration and problem-solving are essential.

Formación

• Bachelor's or Master's degree in CS/SE or equivalent experience.
• Minimum of 2 years of full-stack web development experience.
• Proficient with React, Redux Toolkit, Vite and modern JS/HTML/CSS.
• Experience designing RESTful APIs with Node.js or similar backend tech.
• Familiarity with CI/CD pipelines and automated testing (Vitest, RTL).

Responsabilidades

• Develop and maintain robust, scalable web apps using React, Redux Toolkit and Vite.
• Collaborate with cross-functional teams to design new features for data visualization platforms.
• Write clean, efficient code and perform code reviews and debugging.
• Develop and test RESTful APIs for data processing.
• Participate in agile sprints and continuous improvement initiatives.
• Ensure accessible, responsive UX with attention to fine UX details and interactions.

Conocimientos

React

Redux Toolkit

Vite

Node.js

RESTful APIs

CI/CD

Vitest

RTL

TypeScript

MUI

MapboxGL

Educación

Bachelor's degree in Computer Science / Software Engineering

Master's degree in Computer Science / related field

Herramientas

MapboxGL

AWS

SQL

Descripción del empleo

Ookla is seeking a Software Engineer to join a team building next‑generation platforms for data visualization and connectivity insights. You’ll work across the stack with React, Redux Toolkit, Vite, and Node.js to deliver scalable web apps and robust RESTful APIs.

You’ll participate in agile delivery, contribute to UX improvements, and explore AI-assisted tooling to speed up development while maintaining human oversight. Strong collaboration and problem-solving are essential.