ppMadrid Office /p pAircall 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. /p pOur 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. /p pAircall 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. /p pAt Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. /p pbHow we work at Aircall /b: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. /p pWe are looking for an engaged and passionate bSenior Data Engineer /b 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. /p pAs 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. /p h3Key Responsibilities: /h3 ul liHave 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 /li liAnalyze and translate business needs into data model optimize for big data /li liIdentify slow queries and optimize for better performance /li liWrite clean scalable code using Scala / python / SQL and test and deploy applications and systems /li liSolve our most challenging data problems, in near real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources /li liBe part of an engineering organization delivering high quality, secure, and scalable solutions to Aircall clients /li liInvolvement in product and platform performance optimization and live site monitoring /li liMentor team members through giving and receiving actionable feedback /li /ul pOur 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. /p h3Qualifications: /h3 ul liA Bachelor's degree in a technical field (eg. computer science or mathematics). /li lib3+ years experience with near real-time analytics /b /li lib5+ years experience with a modern programming language such as Scala, Python, Go,



Typescript /b /li liExperience of designing bcomplex data processing pipeline /b /li libExperience of data modeling /b(star schema, dimensional modeling etc) inbAWS redshift /b /li liExperience of query optimisation /li liExperience of kafka is a plus /li liShipping and maintaining code in production /li liYou like sharing your ideas, and you're open-minded /li /ul pKey moment to join Aircall in terms of growth and opportunities /p pOur people matter, work-life balance is important at Aircall /p pFast-learning environment, entrepreneurial and strong team spirit /p pCompetitive salary package benefits /p pbDEI Statement: /b /p pAt Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. /p pWe 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. /p pWe 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. /p pWe 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. /p /p #J-18808-Ljbffr

📌 Senior Data Engineer, Real-Time Analytics (Madrid)
🏢 Aircall.io
📍 Madrid