Senior Data Engineer - Real time analytics

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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 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. Your role at Aircall 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 A little more about you: 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 term 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 💶 Competitive salary package benefits (health coverage, lunch, commute, sports) DE I Statement: At Aircall

Aircall 是一个独角兽级别的、AI 驱动的客户通信平台，全球超过 22,000 家公司使用它来推动收入增长、更快解决问题并扩展面向客户的团队。我们正在重新定义客户通信，将语音、SMS、WhatsApp 和 AI 整合到一个无缝的工作空间中。我们的发展势头源于一个简单的理念：帮助团队更聪明地工作，而不是更辛苦地工作。Aircall 的 AI Voice Agent 自动化常规通话，AI Assist 简化通话后工作，AI Assist Pro 提供实时指导，让人们能够发挥最佳水平。结果是更高的收入、更快的解决速度和能够自信扩展的团队。Aircall 总部位于巴黎，是我们的欧洲总部，在北美拥有强大的业务存在，以西雅图为北美总部，并在马德里、伦敦、柏林、旧金山、纽约市、悉尼和墨西哥城设有团队。我们打造了客户喜爱的产品和快速扩展的业务，得到世界级投资者的支持，并在多条产品线上由快速的 AI 创新驱动。在 Aircall，你将加入一家正在快速发展的公司。我们雄心勃勃、产品驱动、执行导向，具有可见的影响力、快速的决策和真正的增长。我们在 Aircall 的工作方式：我们以客户为中心、数据驱动，并专注于交付有意义的成果。我们重视主人翁精神、持续学习和深思熟虑的速度。如果你在一个协作、快节奏、信任和影响力至关重要的环境中茁壮成长，你会在这里感到宾至如归。我们正在寻找一位敬业且充满热情的高级数据工程师加入我们不断壮大的工程团队。在这个角色中，你将成为管理我们的分析和事件平台技术栈的团队的关键成员。作为分析数据平台团队的一部分，你将為全球超过 22,000 名客户构建功能。你的工作将释放数据的价值，通过实时洞察、监控和全面的分析报告，赋能我们的客户做出明智的决策。你在 Aircall 的角色 在需求分析、可扩展的低延迟流平台解决方案设计、架构以及关键模块的端到端交付中承担关键职责，以便为我们的产品提供近实时数据解决方案 分析并将业务需求转化为针对大数据优化的数据模型 识别慢查询并优化以获得更好的性能 使用 Scala / python / SQL 编写干净可扩展的代码，并测试和部署应用程序和系统 利用最优的数据架构、框架、查询技术，从结构化和非结构化数据源获取数据，以近实时的方式解决我们最具挑战性的数据问题。成为工程组织的一部分，为 Aircall 客户提供高质量、安全且可扩展的解决方案 参与产品和平台性能优化以及实时站点监控 通过给予和接受可操作的反馈来指导团队成员。我们的技术栈：AWS（Kinesis、Kafka、s3、DMS、Glue、EMR、EKS、Redshift、Spectrum）、Apache Pinot、Apache Flink 和 Airflow。基于 GitLab 的持续部署流程 关于你的更多信息：技术领域的学士学位（例如计算机科学或数学）。3 年以上近实时分析经验 5 年以上现代编程语言经验，如 Scala、Python、Go、Typescript 具有设计复杂数据处理管道的经验 具有在 AWS redshift 中进行数据建模（星型模式、维度建模等）的经验 具有查询优化经验 具有 kafka 经验者优先 在生产环境中发布和维护代码 你喜欢分享你的想法，并且思想开放 为什么加入我们？🚀 加入 Aircall 的关键时刻，在增长和机会方面 💆‍♀️ 我们重视员工，在 Aircall 工作与生活的平衡很重要 📚 快速学习的环境，创业精神和强大的团队精神 🌍 45+ 国籍：多元文化的国际化思维 💶 有竞争力的薪资套餐福利（健康保险、午餐、通勤、运动）DE I 声明：在 Aircall

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