Data Engineer

Cafeyn Group
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Query Performance
API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Cloud Engineering
Data as a Services
Information Engineering
Data Systems
Data Warehousing
Python
Recommender Systems
Data Logging
Snowflake
Backend
Kubernetes
Real Time Data
Front End Software Development
Terraform
Programming Languages

Job description

As a Senior Data Engineer at Cafeyn, you will play a key role in designing, building, and operating a robust data platform that powers core product features such as content recommendations, search, and dynamic page skeletons.

You will work at the intersection of product, backend engineering, data science, and infrastructure to deliver scalable, reliable, and high-performance data systems that directly impact millions of users.

Your mission is to turn data into real-time, production-grade services that power personalized and intelligent user experiences.

You will be a part of the Data Engineering team (3 people for now), which depends on the Cafeyn tech team. Their mission is also to support other data specialists (15 people in total distributed in several teams like product and finance).

Key Responsibilities

Data APIs & Product-Facing Services

  • Design, develop, and maintain Python-based data services powering critical product features (content recommendations, search systems, page skeleton generation).
  • Build and operate real-time data processors as well as robust batch pipelines supporting both analytical and operational use cases.
  • Collaborate closely with backend and frontend teams to integrate data services seamlessly into user journeys.
  • Contribute to architecture decisions that improve scalability and maintainability of our systems.
  • Contribute to the industrialization and scalability of AI-powered features (e.g., RAG pipelines, model serving, evaluation workflows).

Infrastructure & Cloud Engineering

  • Contribute to the architecture and evolution of our cloud-based data infrastructure.
  • Implement infrastructure-as-code through IaC and CI/CD pipelines to ensure reliable deployments and reproducibility.
  • Strengthen observability, logging, and monitoring across data services and pipelines.

Data Warehousing & Modeling

  • Design and evolve scalable data warehouse models to support analytics, experimentation, and product-facing APIs.
  • Optimize storage, query performance, and cost efficiency in our datawarehouse
  • Establish best practices for data modeling, governance, documentation, and ownership.

Those are great opportunities to get hands-on experience with a modern data and tech platform, with a high level of autonomy and impact on a customer-facing product.

Our Tech stack:

  • AWS as cloud provider
  • Python as main programming language
  • Kubernetes (via EKS, the AWS-managed version)
  • Airflow for job orchestration
  • Terraform to manage infrastructure
  • Snowflake as datawarehouse, As a Senior Data Engineer at Cafeyn, you will play a key role in designing, building, and operating a robust data platform that powers core product features such as content recommendations, search, and dynamic page skeletons.

You will work at the intersection of product, backend engineering, data science, and infrastructure to deliver scalable, reliable, and high-performance data systems that directly impact millions of users.

Your mission is to turn data into real-time, production-grade services that power personalized and intelligent user experiences.

You will be a part of the Data Engineering team (3 people for now), which depends on the Cafeyn tech team. Their mission is also to support other data specialists (15 people in total distributed in several teams like product and finance).

  • Design, develop, and maintain Python-based data services powering critical product features (content recommendations, search systems, page skeleton generation).
  • Build and operate real-time data processors as well as robust batch pipelines supporting both analytical and operational use cases.
  • Collaborate closely with backend and frontend teams to integrate data services seamlessly into user journeys.
  • Contribute to architecture decisions that improve scalability and maintainability of our systems.
  • Contribute to the industrialization and scalability of AI-powered features (e.g., RAG pipelines, model serving, evaluation workflows).

Design, develop, and maintain Python-based data services powering critical product features (content recommendations, search systems, page skeleton generation).

Build and operate real-time data processors as well as robust batch pipelines supporting both analytical and operational use cases.

Collaborate closely with backend and frontend teams to integrate data services seamlessly into user journeys.

Contribute to architecture decisions that improve scalability and maintainability of our systems.

Contribute to the industrialization and scalability of AI-powered features (e.g., RAG pipelines, model serving, evaluation workflows).

  • Contribute to the architecture and evolution of our cloud-based data infrastructure.
  • Implement infrastructure-as-code through IaC and CI/CD pipelines to ensure reliable deployments and reproducibility.
  • Strengthen observability, logging, and monitoring across data services and pipelines.

Contribute to the architecture and evolution of our cloud-based data infrastructure.

Implement infrastructure-as-code through IaC and CI/CD pipelines to ensure reliable deployments and reproducibility.

Strengthen observability, logging, and monitoring across data services and pipelines.

  • Design and evolve scalable data warehouse models to support analytics, experimentation, and product-facing APIs.
  • Optimize storage, query performance, and cost efficiency in our datawarehouse
  • Establish best practices for data modeling, governance, documentation, and ownership.

Design and evolve scalable data warehouse models to support analytics, experimentation, and product-facing APIs.

Optimize storage, query performance, and cost efficiency in our datawarehouse

Establish best practices for data modeling, governance, documentation, and ownership.

Those are great opportunities to get hands-on experience with a modern data and tech platform, with a high level of autonomy and impact on a customer-facing product.

  • AWS as cloud provider
  • Python as main programming language
  • Kubernetes (via EKS, the AWS-managed version)
  • Airflow for job orchestration
  • Terraform to manage infrastructure
  • Snowflake as datawarehouse

AWS as cloud provider

Python as main programming language

Kubernetes (via EKS, the AWS-managed version)

Requirements

Significant experience with Python (5+ years of professional experience with it)

  • Experience in architecting and deploying data systems on AWS, GCP or similar
  • Have experience dealing with container orchestration, preferably with Kubernetes
  • Fluent in English
  • Driven by a global tech vision and concern for optimizing solutions, technically, functionally and financially
  • Ability to collaborate with different stakeholders and teams., Significant experience with Python (5+ years of professional experience with it)
  • Experience in architecting and deploying data systems on AWS, GCP or similar
  • Have experience dealing with container orchestration, preferably with Kubernetes
  • Fluent in English
  • Driven by a global tech vision and concern for optimizing solutions, technically, functionally and financially
  • Ability to collaborate with different stakeholders and teams.

Significant experience with Python (5+ years of professional experience with it)

Experience in architecting and deploying data systems on AWS, GCP or similar

Have experience dealing with container orchestration, preferably with Kubernetes

Fluent in English

Driven by a global tech vision and concern for optimizing solutions, technically, functionally and financially

Ability to collaborate with different stakeholders and teams.

It's nice if you have:

  • Experience with the listed tools above, but having worked with similar technologies is fine

Experience with the listed tools above, but having worked with similar technologies is fine

Benefits & conditions

Technical assignment to perform live in our Paris office with & , Data engineer

  • Culture fit with our data team members.
  • Last interview with , CTO & , Director of Engineering

Perks & benefits of working at Cafeyn

  • Classic package

We provide a Swile card for your meal vouchers, Sidecare health insurance, and a mobility package to reimburse your transport subscription.

  • Sports

We have a partnership with Wellpass that gives you access to fitness classes and wellness activities for both exercise and relaxation as you want.

  • Mental Health

You have an access to our mental health platform teale, where you can book appointments with your psychologist or monitor your mental health.

  • Hybrid policy

We allow you to work remotely two days per week.

  • Cafeyn's access

We provide you with a VIP code for Cafeyn, giving you unlimited access to all content on our platform.

  • Team life, Technical assignment to perform live in our Paris office with & , Data engineer
  • Culture fit with our data team members.
  • Last interview with , CTO & , Director of Engineering

First interview with our Talent acquisition manager

Informal meeting with , Data engineering manager

Technical assignment to perform live in our Paris office with & , Data engineer

Culture fit with our data team members.

Last interview with , CTO & , Director of Engineering

  • Classic package

Classic package

We provide a Swile card for your meal vouchers, Sidecare health insurance, and a mobility package to reimburse your transport subscription.

  • Sports

Sports

We have a partnership with Wellpass that gives you access to fitness classes and wellness activities for both exercise and relaxation as you want.

  • Mental Health

Mental Health

You have an access to our mental health platform teale, where you can book appointments with your psychologist or monitor your mental health.

  • Hybrid policy

Hybrid policy

We allow you to work remotely two days per week.

  • Cafeyn's access

Cafeyn's access

We provide you with a VIP code for Cafeyn, giving you unlimited access to all content on our platform.

  • Team life

Team life

We organize four office meet-ups per year. These occasions allow us to gather with our international offices, celebrate company updates, and spend quality time together.

You don't have to match all the requirements, if you feel this offer could be a great opportunity for you, reach out anyways! We hire based on talent and we promote inclusivity inside Cafeyn and strongly believe that our culture is strongest when it is the most diverse.

  • Founded in 2006
  • Co-workers 120
  • Index de l'égalité professionnelle :93/100

About the company

Cafeyn is more than a platform- it is transforming the way people access and experience content. Since 2006, we've grown in a fast-evolving market, adapting to become a leading digital reading service with over 2 million users worldwide. Cafeyn gives readers unlimited, personalized access to thousands of newspapers and magazines, curated to fit their tastes and delivered seamlessly across devices. Our mission? To empower individuals with access to trusted, high-quality content that fosters personal growth and discovery. Whether it's through the comprehensive collection of news and features on Cafeyn, the digital publishing solutions of Milibris, or the fun and educative content for children on Kidjo, Cafeyn stands at the forefront of digital content experiences., We organize four office meet-ups per year. These occasions allow us to gather with our international offices, celebrate company updates, and spend quality time together. You don't have to match all the requirements, if you feel this offer could be a great opportunity for you, reach out anyways! We hire based on talent and we promote inclusivity inside Cafeyn and strongly believe that our culture is strongest when it is the most diverse. Cafeyn is more than a platform- it is transforming the way people access and experience content. Since 2006, we've grown in a fast-evolving market, adapting to become a leading digital reading service with over 2 million users worldwide. Cafeyn gives readers unlimited, personalized access to thousands of newspapers and magazines, curated to fit their tastes and delivered seamlessly across devices. Our mission? To empower individuals with access to trusted, high-quality content that fosters personal growth and discovery. Whether it's through the comprehensive collection of news and features on Cafeyn, the digital publishing solutions of Milibris, or the fun and educative content for children on Kidjo, Cafeyn stands at the forefront of digital content experiences.

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