Data Platform Engineer

We Cafeyn Group

With 15 years of existence Cafeyn Group is a multibrand 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 highvalue highfocus and forwardthinking 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 teams 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 AWSmanaged 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.
• Your main challenge will be to build deploy and maintain data applications such as:
  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

Its 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 Raphal Data engineering manager
• Technical assignment to perform asynchronously and debrief interview with tech leads
• Culture fit with team members