Senior Data Engineer — Real-Time Analytics (Madrid Hybrid)

Aircall.io, Inc.; Madrid; Híbrido; EUR 85.000 - 110.000; Jornada completa

Descripción de la vacante

Aircall is recruiting a Senior Data Engineer for its Madrid team (hybrid). You will manage analytics and the event platform stack for 22,000+ customers worldwide, enabling real-time insights, monitoring, and detailed reports.

The role focuses on scalable data pipelines, data modeling, and performance optimization within a fast-growing, AI-driven environment. Join a global product-driven company with strong growth.

Formación

• Bachelor's degree in 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) in AWS Redshift.
• Experience of query optimisation.
• Kafka is a plus.
• Shipping and maintaining code in production.

Responsabilidades

• Analyze requirements and design scalable, low latency streaming solutions.
• Translate business needs into data models and optimize for big data.
• Identify slow queries and optimize performance.
• Write clean, scalable code in Scala, Python or SQL and deploy applications and systems.
• Solve data problems in near real-time using optimal data architectures.
• Be part of an engineering organization delivering high quality, secure, and scalable solutions.
• Involvement in product and platform performance optimization and live site monitoring.
• Mentor team members through feedback.

Conocimientos

Near real-time analytics

Scala

Python

Go

Typescript

Data modeling

Query optimization

Kafka

Production deployment

Mentoring

Educación

Bachelor's degree in a technical field

Herramientas

AWS

Airflow

GitLab

Descripción del empleo

Aircall is recruiting a Senior Data Engineer for its Madrid team (hybrid). You will manage analytics and the event platform stack for 22,000+ customers worldwide, enabling real-time insights, monitoring, and detailed reports.

The role focuses on scalable data pipelines, data modeling, and performance optimization within a fast-growing, AI-driven environment. Join a global product-driven company with strong growth.