Aircall is a unicorn, AI‑powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer‑facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together in one seamless workspace.
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world‑class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you’ll join a company in motion. How we work at Aircall We’re customer‑obsessed, data‑driven, and focused on delivering meaningful outcomes. Senior Data Engineer We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team. As part of the Analytics & Data Platform team, you will build features for over 22,000 customers across the globe.



Your work will unlock the value of data, empowering our customers to make informed decisions through real‑time insights, monitoring, and comprehensive analytical reports.
Requirement analysis, scalable & low latency streaming platform solution design, architecture, and end‑to‑end delivery of key modules in order to provide near real‑time data solutions for our product
Analyze and translate business needs into data models and optimize for big data
Identify slow queries and optimize for better performance
Write clean scalable code using Scala, Python, or SQL and test and deploy applications and systems
Solve our most challenging data problems in near real‑time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources
Be part of an engineering organization delivering high quality, secure, and scalable solutions to Aircall clients
Involvement in product and p

📌 Data Engineer AWS Senior (Madrid)
🏢 Aircall
📍 Madrid