Data Engineer

Your missions

• Implement our data engineering, machine learning and API projects. This includes but is not limited to cloud architectures, containers, serverless, pipelines and code reviews
• Define and implement relevant controls to secure cloud workloads and associated processes
• Promote an automation approach to ensure consistent and transparent execution (test automation, code review etc.)
• Be a trusted liaison with Cartier product teams, Richemont Cybersecurity and Group Technology teams
• Be autonomous and proactive; able to understand functional and technical requirements, identify gaps and suggest improvements

your profile

Minimum qualifications:

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 3 years of relevant industry experience in a major cloud platform
• Hands-on technical expertise in Security, Architecture, Automation, Integration, and Deployment (DevOps methodology)
• Coding experience in one or more general purpose languages (Java, Python)
• Strong verbal and written communication skills and ability to share technical ideas in business-friendly language

Preferred qualifications:

• Master's degree in Computer Science or related field
• At least 3 years of relevant industry experience in Google Cloud Platform
• Good understanding of Google Cloud architecture from foundation blocks to workload types
• Strong hands-on experience with infrastructure-as-code automation with Terraform and Git
• Knowledge of Apache Airflow / GCP Composer, DBT and container technologies
• Good understanding of SDLC processes (Agile, DevOps), cloud operation and support (ITIL) service delivery with hands-on ability to implement best practices or suggest improvements
• Have one or more cloud certifications such as Google Cloud Data Engineer and/or Google Cloud Architect