Senior Real-Time Data Engineer for Streaming Analytics

Aircall; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary package

Multinational team

Descripción de la vacante

Aircall is seeking a Senior Data Engineer to lead analytics and data platform initiatives from our Madrid office in a hybrid setup. You will manage analytics and event platform stack for 22,000+ customers, delivering real-time insights, monitoring, and comprehensive reports.

You will design scalable pipelines, optimize queries, and collaborate across teams to ship production-grade data solutions while mentoring colleagues and driving performance improvements.

Formación

• Bachelor's degree in a technical field (e.g., computer science or mathematics).
• 3+ years of experience with near real-time analytics.
• 5+ years experience with Scala, Python, Go, or Typescript.
• Experience designing complex data processing pipelines.
• Experience in data modeling (star schema, dimensional modeling) in AWS Redshift.
• Experience in query optimization.
• Kafka experience is a plus.
• Shipping and maintaining code in production.
• Able to share ideas and be open-minded.

Responsabilidades

• 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.

Conocimientos

Near real-time analytics

Scala

Python

Go

Typescript

SQL

Data modeling

Production code

Mentoring

Educación

Bachelor's degree in a technical field

Herramientas

AWS

Kafka

Airflow

Redshift

Descripción del empleo

Aircall is seeking a Senior Data Engineer to lead analytics and data platform initiatives from our Madrid office in a hybrid setup. You will manage analytics and event platform stack for 22,000+ customers, delivering real-time insights, monitoring, and comprehensive reports.

You will design scalable pipelines, optimize queries, and collaborate across teams to ship production-grade data solutions while mentoring colleagues and driving performance improvements.