Senior Data Engineer, Real-Time Analytics

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

Madrid Office

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 Madrid (hybrid setup). 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.

Key Responsibilities:

• 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.

Qualifications:

• 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) inAWS 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

Key moment to join Aircall in terms of growth and opportunities

Our people matter, work-life balance is important at Aircall

Fast-learning environment, entrepreneurial and strong team spirit

Competitive salary package & benefits

DE&I Statement:

At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.

We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. 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.

We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.