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: 6 hours agoStatus: Live

Job Summary

Senior Data Engineer to design and deliver near real-time analytics solutions on Aircall’s data platform. You’ll build scalable streaming pipelines, model data for analytics, optimize queries, and ship production-grade code in Scala, Python, and SQL while mentoring teammates and driving performance across our analytics stack.

Location: United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Define scalable and low-latency streaming platform solutions end-to-end for near real-time data delivery.
•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 monitoring.

Pay and Benefits

Perks:Health InsuranceMeal AllowanceCommuter BenefitsSports

Key Requirements

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

Experience:3+ yearsReal-time analyticsBig data

Education:Bachelor's

Skills:CommunicationMentoringProblem-solvingTeamwork

Languages:English

Tech Stack:ScalaPythonSQLKafkaAWSFlinkAirflowKinesisRedshift

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: 6 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Define scalable and low-latency streaming platform solutions end-to-end for near real-time data delivery.
•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 monitoring.

Pay and Benefits

Perks:Health InsuranceMeal AllowanceCommuter BenefitsSports

Key Requirements

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

Experience:3+ yearsReal-time analyticsBig data

Education:Bachelor's

Skills:CommunicationMentoringProblem-solvingTeamwork

Languages:English

Tech Stack:ScalaPythonSQLKafkaAWSFlinkAirflowKinesisRedshift

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