Senior Data Engineer - Real time analytics

Aircall · London Officesenior

En corto

▸Ingeniero de datos senior que construye plataformas en tiempo real para 22.000+ clientes.
▸Diseño y optimización de pipelines de datos con baja latencia usando Kafka, Flink y AWS.
▸Destacado: impacto directo en insights en tiempo real para productos de IA que escalan globalmente.

No se requiere inglés explícitamente, pero el puesto implica trabajo en equipo global, por

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓3+ años en análisis en tiempo real
✓5+ años con Scala, Python, Go o Typescript
✓Experiencia en diseño de pipelines de datos complejos
✓Modelado de datos en Redshift (esquema estrella, modelado dimensional)
✓Optimización de consultas y rendimiento
✓Experiencia en producción y despliegue continuo

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

AWS KinesisAWS KafkaAWS S3AWS DMSAWS GlueAWS EMRAWS EKSAWS RedshiftAWS SpectrumApache Pinot

¿A quién escribirle en Aircall?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, 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. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team. In this role, you will be a key member of the team managing our analytics and event platform stack. 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. Your role at Aircall Have key responsibilities within the requirements 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 model & optimize for big data Identify slow queries and optimize for better performance Write clean scalable code using Scala / python / 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 platform performance optimization and live site monitoring Mentor team members through giving and receiving actionable feedback. Our tech. stack: AWS (Kinesis,Kafka, s3, DMS, Glue, EMR, EKS, Redshift, Spectrum), Apache Pinot, Apache Flink and Airflow. A continuous deployment process based on GitLab A little more about you: A Bachelor's degree in a technical field (eg. computer science or mathematics). Why join us? 🚀 Key moment to join Aircall in term of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💶 Competitive salary package & benefits (health coverage, lunch, commute, sports) DE&I Statement

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.