Data Platform Engineer - Paris, France - Cafeyn

Cafeyn

Entreprise vérifiée

Paris, France

il y a 3 semaines

Posté par:

Sophie Dupont

beBee Recruiter

Description

We - Cafeyn Group

With 15 years of existence, Cafeyn Group is a multi-brand company composed of Cafeyn, Blendle, MiLibris and Kidjo and based in France, Netherlands, UK, Canada and Morocco.

With almost 200 employees, we facilitate a media experience through different products.

We want to achieve strong business performance across the Cafeyn Group through organic growth, diversified revenue streams and sustainable profitability.

New opportunities are continuously sought by investment both within and outside of the business.

We deliver high-value, high-focus and forward-thinking, premium _infotainment_ (information & entertainment content) services to our partners and customers, with personalized and relevant information to entertain and educate our audience, broadening their perspective and making them more knowledgeable.

Your global mission:

Our articles are the life force of the organization. We get multiple thousands of articles each day.

From a recommendation perspective, the better we understand these articles, the more value we create for our readers and listeners based on these articles.

Our challenge is that we want to move towards a better understanding of these articles using state of the art NLP technologies.

We need your expertise in setting up the environment for training and tweaking these models, and the infrastructure for bringing them into production.

Besides that, we also need your help on the general data engineering team's missions, building connectors and pipelines throughout the data ecosystem.

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

Role & Responsibilities:

You will join the Data Engineering team, and work with our Lead Data Engineer and Lead Data Scientist on complex and diverse projects.
Data APIs serving the product
Model inference servers
Batch jobs orchestrator (Airflow)
Tracking pipeline
Those tasks imply typically:
Python development (building APIs, connectors
Infrastructure engineering(Managing cloud resources, performing operations within our Kubernetes cluster)
Develop data pipelines

Requirements:

You are/You have:

Significant experience with Python (3+ years of professional experience with it)
Experience in architecting and deploying data systems on AWS, GCP, Azure or similar
Have experience dealing with container orchestration, preferrably with Kubernetes
Fluent in English
Driven by a global tech vision and concern for optimizing solutions, technically, functionally and financially
Curious, team spirit

It's nice if you have:

Experience with NLP technologies and productionizing them
Experience working with data flows and data warehouses (Airflow/Luigi, BigQuery/Snowflake) Experience with an infrastructureascode framework (Terraform, Pulumi )

Recruitment process:

First interview with our Talent acquisition manger Ludmilla
Informal meeting with Raphaël, Data engineering manager
Technical assignment to perform asynchronously, and debrief interview with tech leads
Culture fit with team members