Senior Data Engineer - Real time analytics

Jackalope Digital LLC; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Health coverage

Lunch

Commuting benefits

Sports

Job summary

Aircall is seeking a Senior Data Engineer to join the Analytics & Data Platform team. You will manage our analytics and event platform stack, delivering near real-time insights and data-driven decisions for 22,000+ customers worldwide.

You will design scalable streaming solutions, optimize data models, and work with AWS-based technologies like Kinesis, Redshift, and Airflow. A strong background in data processing and production-grade code is essential.

Qualifications

• 3+ years experience with near real-time analytics.
• 5+ years experience with a modern programming language such as Scala, Python, Go, Typescript.
• Experience designing complex data processing pipelines and data modeling in AWS Redshift.
• Experience with query optimization and production code shipping.

Responsibilities

• Analyze and translate business needs into data models and optimize for big data.
• Develop scalable, low-latency streaming platform solutions.
• Write clean scalable code using Scala, Python, and SQL and deploy applications.
• Identify slow queries and optimize performance.
• Mentor team members and contribute to engineering best practices.
• Participate in product and platform performance optimization.

Skills

Near real-time analytics

Scala

Python

SQL

Go

Typescript

Data modeling

Kafka

Education

Bachelor's degree in computer science or mathematics

Tools

AWS

Kinesis

Kafka

S3

DMS

Glue

EMR

EKS

Redshift

Airflow

Apache Pinot

Flink

GitLab

Job description

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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