2 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: 21 hours agoStatus: Live

Job Summary

Seeking a Senior Data Engineer to design and deliver near real-time analytics solutions for Aircall’s data platform. You’ll build scalable streaming systems, model data for big data workloads, optimize queries, and deploy production-grade code, mentoring teammates while partnering with product and platform teams to deliver real-time insights for thousands of customers.

Location: France

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design scalable and low-latency streaming platform solutions end-to-end to deliver near real-time data for the product
•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
•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

•Bachelor's degree in a technical field (e.g., 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, or Typescript
•Experience designing complex data processing pipelines
•Experience data modeling (star schema, dimensional modeling) in AWS Redshift

Experience:3+ yearsReal-time analyticsData engineeringAWSKafkaFlinkAirflow

Education:Bachelor's

Skills:ScalaPythonSQLAirflowAWSKinesisKafkaS3DMSGlueEMREKSRedshiftPinotFlinkGoTypescriptGitLab

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

2 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: 21 hours agoStatus: Live

Job Summary

Location: France

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design scalable and low-latency streaming platform solutions end-to-end to deliver near real-time data for the product
•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
•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

•Bachelor's degree in a technical field (e.g., 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, or Typescript
•Experience designing complex data processing pipelines
•Experience data modeling (star schema, dimensional modeling) in AWS Redshift

Experience:3+ yearsReal-time analyticsData engineeringAWSKafkaFlinkAirflow

Education:Bachelor's

Skills:ScalaPythonSQLAirflowAWSKinesisKafkaS3DMSGlueEMREKSRedshiftPinotFlinkGoTypescriptGitLab

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