Front-End Engineer @ TPP Intelligence

المعادي، القاهرة

منذ 1 يوم

مستوى الخبرة3-5 سنوات

المستوى التعليميبكالوريوس

نوع العملدوام كامل

نوع مكان العملعن بُعد / في الموقع

الوصف

About TPP TPP Intelligence makes data clear and available to the right clients. We turn location + audience data into dashboards and insights that brands use to make decisions. If you love turning complex data into simple, fast UI, this is for you. The Role You’ll own the client-facing parts of our product. Dashboards, visualizations, filters, and the UX that makes data "click" in 3 seconds. You’ll work directly with Product + UX + Data to ship every 2 weeks. What You’ll Do 1. Build & ship: Develop responsive dashboards and data visualizations for enterprise clients 2. Make data clear: Partner with UX to turn complex metrics into intuitive UI 3. Own performance: Keep dashboards loading <3s. Optimize rendering for large datasets 4. Ship fast: Work in 2-week sprints, own features end-to-end from Figma to prod 5. AI-first workflow: Use Claude/AI tools to prototype, debug, and accelerate development 3x Why TPP Small team, big impact. You’ll talk directly to clients, see your work used in boardrooms, and help define how data products should feel in 2026. Must-Haves - Claude Wizard: You use Claude, ChatGPT, or similar daily to write, debug, refactor, and explain code. You can prompt your way out of a blocker - React + TypeScript: 3+ years building production React apps - Data Viz Experience: D3, Recharts, Chart. js, or similar. You’ve built charts/maps people actually understand - Product Mindset: You care about UX, not just pixels. You’ll push back if a design is confusing - Fast Learner: Our stack moves. You can ramp in 1 week Nice-to-Haves - Next. js experience: App Router, SSR/SSG, API routes - TailwindCSS + shadcn/ui: We like clean, fast UI - Experience with location data / BI tools / dashboards - Turborepo, Zustand, TanStack Query What Success Looks Like in 90 Days 1. You shipped 2 major dashboard improvements that reduced client support tickets 2. Dashboard load time is <3s for 95% of users 3. You set up our component library so any new chart takes 1 day, not 1 week 4. The team says "ask, they know Claude"[you]