高级数据工程师 - 实时分析
Senior Data Engineer - Real time analytics
Aircall 是一家独角兽公司，是一家由人工智能驱动的客户沟通平台，全球 22,000 多家公司使用该平台来提升收入、更快地解决问题并扩大客户支持团队。我们通过将语音、短信、WhatsApp 和 AI 结合到一个无缝的工作空间中，重新定义客户沟通。我们的势头源于一个简单理念：帮助团队更聪明地工作，而不是更辛苦地工作。Aircall 的 AI 语音代理可自动化常规电话，AI Assist 简化了通话后的工作，AI Assist Pro 提供实时指导，让人们发挥最佳水平。结果是更高的收入、更快的解决方案以及充满信心地扩展团队。
Aircall 总部位于巴黎，我们的欧洲总部，同时在西雅图设有北美总部，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发展的业务，得到了世界级投资者的支持，并由多个产品线上的快速 AI 创新推动。
在 Aircall，你将加入一家正在迅速发展的公司。我们志向远大，以产品为导向，注重执行，有可见的影响、快速决策和真正的成长。
Aircall 的工作方式：我们以客户为中心，以数据为驱动，专注于交付有意义的结果。我们重视责任感、持续学习和高效的速度。如果你在一个协作性强、节奏快的环境中如鱼得水，这里就是你的家。
我们正在寻找一位积极热情的高级数据工程师加入我们不断壮大的工程团队。在这个职位上，你将成为管理我们分析和事件平台堆栈的关键团队成员。
作为分析与数据平台团队的一员，你将为全球超过 22,000 家客户提供功能开发。你的工作将释放数据的价值，使我们的客户能够通过实时洞察、监控和全面的分析报告做出明智的决策。
你在 Aircall 的职责
- 在需求分析、可扩展且低延迟的流媒体平台解决方案设计、架构和关键模块的端到端交付中承担主要责任，以提供接近实时的数据解决方案
- 分析并转化业务需求为数据模型，并针对大数据进行优化
- 识别慢查询并优化性能
- 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
- 解决我们最具有挑战性的问题
查看英文原文
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, we believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are core to our Aircall journey.
We promote active inclusion to foster a strong sense of belonging which is one of our main strengths as a business. We strive to assemble diverse people that can enrich and learn from each other. We pledge to make sure everyone not only has a seat at the table but is valued at the table -- 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 because we realize that we have work to do and much to learn.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
Originally posted on Himalayas