Scan your resume against ATS criteria for this Senior Data Engineer - Real time analytics role at Aircall.
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 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.
We are looking for an engaged and passionate
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.
for our product
and test and deploy applications and systems
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.
and Airflow.
A Bachelor's degree in a technical field (eg. computer science or mathematics).
(star schema, dimensional modeling etc) in
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 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 _
_ _We promote active inclusion to foster a
_ which is of our main strengths as a business. We strive to assemble diverse people that can _
_. We pledge to make sure everyone not has a seat at the table but is valued at the table -- providing _
_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 _
open because we realize that we have work to do and much to learn.
Want to know more about candidate privacy? Find our https://aircall.io/candidate-privacy-notice/ Candidate Privacy Notice here.
How to apply for Senior Data Engineer - Real time analytics at Aircall?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
3+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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Senior Data Engineer - Real time analytics
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