Senior Data Engineer - Real time analytics

Aircall; France; Remote; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Health coverage

Lunch provided

Commuting support

Sports benefits

DE&I program

Job summary

United States Digital Space LLC is seeking a Senior Data Engineer to join the Analytics & Data Platform team. You will help manage analytics and event platform stacks for over 22,000 customers worldwide, delivering near real-time insights and comprehensive reports.

You will design data models, optimize pipelines, and mentor peers while working with AWS Kinesis, Kafka, Redshift, Flink, and Airflow in a fast-growing, product-driven environment.

Qualifications

• 3+ years near real-time analytics experience.
• 5+ years with modern languages such as Scala, Python, Go, or Typescript.
• Experience designing data processing pipelines and data modeling in AWS Redshift.
• Experience with Kafka is a plus; production code shipping is expected.

Responsibilities

• Lead requirements analysis and design scalable, low-latency streaming platform modules.
• Translate business needs into data models and optimize for big data.
• Identify slow queries and optimize performance.
• Write clean, scalable code in Scala/Python/SQL and deploy applications.
• Mentor teammates and contribute to performance monitoring and live site ops.

Skills

Scala

Python

Go

Typescript

SQL

Near real-time analytics

Mentoring

Education

Bachelor's degree in computer science or mathematics

Tools

AWS

Kinesis

Kafka

S3

DMS

Glue

EMR

EKS

Redshift

Apache Pinot

Apache Flink

Airflow

GitLab

Job description

the company 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. the company’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.the company 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 the company, 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 the company: 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 the company

• 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 the company 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 the company in term of growth and opportunities Our people matter, work-life balance is important at the company 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 the company, we believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are core to our the company 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.Want to know more about candidate privacy? Find our Candidate Privacy Notice here.Find Jobs in France on Arbeitnow