DESCRIPTIF DE L'OFFRE

-

Responsibilities

Data Architecture:

Design and implement robust, scalable data architectures in the cloud (e.g., AWS, Azure).
Develop data models optimized for AI/ML workloads.
Define data governance standards, ensuring data quality and security.
Collaborate with stakeholders to understand data requirements and translate them into actionable designs.

Cloud Engineering:

Build and maintain data pipelines and processing workflows using cloud-based tools
Leverage cloud services for data storage, compute, and analytics.
Optimize infrastructure for cost efficiency and performance.
Implement monitoring and alerting systems to ensure data platform health.

Collaboration:

Partner closely with data scientists, AI engineers, and business analysts to deliver end-to-end AI solutions.
Work effectively with ArcelorMittal's cloud and data teams to ensure alignment with broader IT strategies.
Provide SQL guidance to AI engineering on best practices and optimization

Profile

 3-5+ years of proven experience in data architecture, data management in delivering Artificial Intelligence solutions   
Hands-on experience with cloud data platforms (e.g., MS Fabric, Databricks) and data catalogs with strong proficiency in SQL.
Expertise in data modeling, governance, and observability.
Data-driven mindset with excellent problem-solving and analytical skills.
Strong collaboration and communication abilities.
Ability to work independently and as part of a cross-functional team.
Azure

Azure Data Engineer Associate
Azure Solutions Architect Expert

AWS:

AWS Certified Big Data - Specialty
AWS Certified Solutions Architect - Professional

DAMA:

CDMP Data Management Fundamentals

Active participation in data, AI, ML, or ESG communities, particularly involvement with DAMA International, is a plus.

Team

Join our newly established AI team.
Report directly to the Head of AI.
Position can be based in Luxembourg, Paris, or London