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# Data Engineer

- **Company:** Aircall
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Big Data, Continuous Delivery, Data Architecture, Dimensional Modeling, Python (Programming Language), Performance Tuning, Query Optimization, Software Deployment, SQL Databases, TypeScript, Data Processing, Gitlab, Information Technology, Low Latency, Apache Flink, Maintaining Code, Star Schema, Real Time Data, Apache Kafka, Amazon Redshift, Golang, Programming Languages
- **Published:** August 11, 2026
- **Apply:** https://es.trabajo.org/oferta-5001-e39649ef1cc1501828058454f9d42068

## About the Role

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) 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 Why join us? 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 45+ Nationalities: cosmopolite & multi-cultural mindset

## Description

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


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