Expoint - all jobs in one place

The point where experts and best companies meet

Limitless High-tech career opportunities - Expoint

Netflix UI Engineer L5 - Business Intelligence Engineering 
Poland, Masovian Voivodeship, Warsaw 
14587590

20.03.2025

Key Responsibilities:

  • Design and Development:

    • Lead the creation of advanced data visualizations for data explanation and exploration.

    • Develop web applications using Node.js and front-end JavaScript (TypeScript encouraged) with frameworks like React or Vue.js.

  • UI Responsibility and Scalability:

    • Ensure the design and implementation of user interfaces are intuitive, responsive, and scalable to accommodate future growth and changes.

    • Focus on creating a seamless and engaging user experience across all devices and platforms.

  • Collaboration and Leadership:

    • Guide cross-functional teams in adopting best practices and innovative techniques for UI development.

    • Ensure consistency and quality across all applications and user experiences.

  • Problem Solving:

    • Manage complex data flows and relationships in visualizations, ensuring they are efficiently handled and displayed.

    • Transform and prepare data efficiently for complex visualizations, ensuring clarity and usability.

What we are looking for:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Design, or a related field, with experience in data visualization engineering.
  • Passionate about building beautiful web apps focused on data explanation and exploration, using Node.js and front-end JavaScript, React or Vue.js, with D3.js.
  • Focused on making complex data intuitive and useful to a broad audience, iterating on tools based on user feedback.
  • Knowledgeable about trade-offs between different chart types and skilled in selecting the best data representations.
  • Experienced in working with data from various sources, including API endpoints and relational databases, and familiar with data-centric teams on metrics and analytics.

You can expect to:

  • Work on some of the most used internal tools at Netflix, bringing together multiple data sources, metrics and predictive analytics to keep our business informed about how our financial and talent business is performing.
  • Work with both creative and business stakeholders to rapidly iterate on your initial designs based on user research and feedback.
  • Partner closely with R&D teams to bring new metrics, models and data sources to Netflix.