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.
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. How we work at Aircall We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team in Madrid (hybrid setup). 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.
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
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 Bachelor's degree in a technical field (eg. computer science or mathematics).
~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 kafka is a plus
~ 45+ Nationalities: cosmopolite & multi-cultural mindset
~ We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
If you would like more information about how your data is processed, please contact us.
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📌 Data Engineer Senior AWS y Airflow (España)
🏢 Aircall
📍 España