Data Engineer
Role details
Job location
Tech stack
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