Aircall

3 months ago

Senior Data Engineer - Real time analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Senior Data Engineer to design and deliver near real-time analytics platforms for Aircall, building scalable streaming data solutions, optimizing data models, and improving query performance. You will work within the Analytics & Data Platform team to enable real-time insights for 22,000+ customers, mentor teammates, and contribute to production-grade data pipelines leveraging AWS and modern data tooling.

Location: Paris

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design scalable and low-latency streaming platform solutions and end-to-end delivery of key modules for near real-time data solutions
•Analyze and translate business needs into data models and optimize for big data
•Identify slow queries and optimize for better performance
•Write clean scalable code using Scala, Python, and SQL, and test and deploy applications and systems
•Mentor team members and contribute to product and platform performance optimization and live site monitoring

Pay and Benefits

Perks:Health InsuranceMeal AllowanceCommuter BenefitsSports

Key Requirements

•3+ years of near real-time analytics experience
•5+ years of experience with a modern programming language such as Scala, Python, Go, or Typescript
•Bachelor's degree in a technical field (e.g., computer science or mathematics)
•Experience designing complex data processing pipelines
•Experience with data modeling (star/snowflake dimensional modeling) in AWS Redshift

Experience:3+ yearsReal-time analyticsBig dataData platform

Education:Bachelor's

Skills:CommunicationProblem-solvingMentorship

Languages:English

Tech Stack:ScalaPythonSQLAWSKinesisKafkaS3DMSGlueEMREKSRedshiftPinotFlinkAirflowGitLab

Company Brief

Aircall

Provides a cloud-based phone system and call center platform for businesses, offering VoIP, call routing, analytics, integrations with CRM and helpdesk tools to support sales and customer support teams.

Industry: Telecommunications

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: Paris, France

Founded: 2014

Website LinkedIn

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Aircall

3 months ago

Senior Data Engineer - Real time analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Paris

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design scalable and low-latency streaming platform solutions and end-to-end delivery of key modules for near real-time data solutions
•Analyze and translate business needs into data models and optimize for big data
•Identify slow queries and optimize for better performance
•Write clean scalable code using Scala, Python, and SQL, and test and deploy applications and systems
•Mentor team members and contribute to product and platform performance optimization and live site monitoring

Pay and Benefits

Perks:Health InsuranceMeal AllowanceCommuter BenefitsSports

Key Requirements

•3+ years of near real-time analytics experience
•5+ years of experience with a modern programming language such as Scala, Python, Go, or Typescript
•Bachelor's degree in a technical field (e.g., computer science or mathematics)
•Experience designing complex data processing pipelines
•Experience with data modeling (star/snowflake dimensional modeling) in AWS Redshift

Experience:3+ yearsReal-time analyticsBig dataData platform

Education:Bachelor's

Skills:CommunicationProblem-solvingMentorship

Languages:English

Tech Stack:ScalaPythonSQLAWSKinesisKafkaS3DMSGlueEMREKSRedshiftPinotFlinkAirflowGitLab

Company Brief

Aircall

Industry: Telecommunications

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: Paris, France

Founded: 2014

Website LinkedIn