Senior Data Engineer - Real time analytics

Aircall · London Officesenior

In short

▸Ingeniero de datos senior que construye plataformas en tiempo real para 22.000+ clientes.
▸Diseña e implementa pipelines de streaming de baja latencia con Kafka, Flink y AWS, optimizando consultas y modelos de datos.
▸Destaca por trabajar en un entorno de alta velocidad con impacto directo en productos AI y análisis en tiempo real.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

What they ask for

✓3+ años en análisis en tiempo real
✓5+ años en lenguajes modernos como Scala, Python, Go o Typescript
✓Experiencia en diseño de pipelines de procesamiento de datos complejos
✓Conocimiento en modelado de datos (esquema estrella, modelado dimensional)
✓Habilidades en optimización de consultas y rendimiento
✓Experiencia en producción y despliegue de código en entornos reales

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AWSKinesisKafkaS3DMSGlueEMREKSRedshiftSpectrum

Who should you write to at Aircall?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.