Ingénieur(e) Data Et Architecte Infrastructure (h/f)
Potel et Chabot
Argenteuil, France
Not specified; benefits: 60% employer-pyid health ...
On-site
7-10 years experience building data warehouse from scratch
Expert sql and python programming skills
Modern data stack tools like dbt airbyte and airflow
Potel et Chabot, a prestigious luxury brand specializing in exceptional French gastronomy, seeks a Data Engineer and Infrastructure Architect to design and deploy their new data platform. The ideal candidate will have extensive experience in data architecture, strong technical expertise, and a problem-solving mindset
Job Summary
The primary mission is to conceive and deploy the company's new end-to-end data platform within a luxury hospitality context.
Candidates must select and implement the best market tools for ingestion, transformation, and orchestration while ensuring data integrity.
The role offers significant benefits including 60% health insurance coverage, 80% public transport reimbursement, and access to international career opportunities.
Matching Summary
Match Score: 85
Potel et Chabot, a prestigious luxury brand specializing in exceptional French gastronomy, seeks a Data Engineer and Infrastructure Architect to design and deploy their new data platform. The ideal candidate will have extensive experience in data architecture, strong technical expertise, and a problem-solving mindset.
Salary
Not specified; Benefits: 60% employer-paid health insurance; Transport: 80% reimbursement or €175 net annual mobility allowance
Skills & Requirements
Must-have
7-10 years experience building Data Warehouse from scratch
Expert SQL and Python programming skills
Modern Data Stack tools like dbt Airbyte and Airflow
Cloud infrastructure design on AWS GCP or Azure
DevOps practices including CI/CD Terraform and Docker
Nice-to-have
Experience migrating ERP systems to new architectures
Ability to justify technological choices based on business needs
Problem-solving mindset with strong analytical skills
Key Requirements
7 to 10 years of professional experience required
Proven track record of building Data Warehouses from A to Z
Expert-level proficiency in SQL and Python languages