Senior Data Engineer, Aircall

Real time analytics

Salary not provided

SQL

AWS

TypeScript

Python

Scala

Kafka

Airflow

Redshift

Flink

Kinesis

Aircall

Senior and Expert level

Remote from France

AI-powered communications platform

Be an early applicant

AI-powered communications platform

501-1000 employees

B2BProductivitySaaSMobileTelecommunications

Be an early applicant

Salary not provided

SQL

AWS

TypeScript

Python

Scala

Kafka

Airflow

Redshift

Flink

Kinesis

Aircall

Senior and Expert level

Remote from France

501-1000 employees

B2BProductivitySaaSMobileTelecommunications

Company mission

To empower every professional to have rich conversations, so they can focus on closing deals and delighting customers.

Job

Company

Role

Who you are

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

What the job involves

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
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

Our take

Call centres have been a mainstay of sales teams for decades, with the human touch delivering an impression conversion rate of about 30% for inbound calls. However analogue call centres are physical infrastructure-heavy and unable to take advantage of the flexibility afforded by remote and hybrid ways of work. Aircall exists to change that, providing a cloud-based call centre infrastructure that allows sales teams to work from their home offices.

Aircall isn't the only company in this space, and it faces heavy competition from Cloudtalk, another cloud-based call centre solution. However Aircall stands out in the market by its use of open APIs and webhooks, making integration with existing productivity and helpdesk tools much easier, and its superior call quality. Aircall has developed a significant customer base with these strengths, with over 20,000 companies using its platform.

The company has raised significant funding in recent years, highlighting the confidence investors have in their offering. With a rapidly expanding presence in the US, European, UK and Australian markets and the recent addition of AI voice agents to handle business calls 24/7, Aircall is clearly set on innovating at scale.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

0% employee growth in 12 months

Glassdoor (3.7)

Trustpilot (3)

Company

Funding (last 2 of 6 rounds)

Jun 2021

$120m

SERIES D

May 2020

$65m

SERIES C

Total funding: $225.6m

Company HQ

NoMad, New York, NY

Leadership

Scott Chancellor

(CEO)

Prior to joining Aircall as CEO in 2023, Scott was CEO of Humu and Chief Product/Technology Officer at Apptio. He also spent 7 years at Amazon Web Services as a Director and General Manager of AWS Insights.

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