Senior Data Engineer - Real time analytics

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).

3+ years experience with near real-time analytics

5+ years experience with a modern programming language such as Scala, Python, Go, Typescript

Experience of designing complex data processing pipeline

Experience of data modeling (star schema, dimensional modeling etc) in AWS redshift

Experience of query optimisation

Experience of kafka is a plus

Shipping and maintaining code in production

You like sharing your ideas, and you're open-minded