Senior Data Engineer, Real Time Analytics

Aircall

Remote

Full-time

Senior

3+ yrs

Salary not listedPosted 4w ago

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Real job — pulled straight from Aircall’s careers page · Verified July 16, 2026 · No reposts.

Aircall is hiring a Senior Data Engineer, Real Time Analytics — a full-time, remote role. Apply directly on Aircall's careers page below.

Senior Data Engineer - Real time analytics

Team: 13001 - Engineering

Location: France Remote

Commitment: Permanent Full Time Employee

Workplace Type: remote

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.

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Frequently asked questions

Is Senior Data Engineer, Real Time Analytics at Aircall a remote job?

Yes, Senior Data Engineer, Real Time Analytics at Aircall is a remote position. This role is open to remote candidates.

What skills are required for Senior Data Engineer, Real Time Analytics at Aircall?

The required skills for Senior Data Engineer, Real Time Analytics at Aircall include: Scala, Python, SQL, AWS, Kinesis, Kafka, S3, EMR, EKS, Redshift, Airflow, GitLab, Big Data.

What is the seniority level for Senior Data Engineer, Real Time Analytics at Aircall?

Senior Data Engineer, Real Time Analytics at Aircall is a Senior level position.

How do I apply for Senior Data Engineer, Real Time Analytics at Aircall?

You can view the full description and apply for Senior Data Engineer, Real Time Analytics at Aircall on EchoJobs: https://echojobs.io/job/aircall-senior-data-engineer-real-time-analytics-v1ry4.

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