Data Engineer
Core
Design, build, and maintain scalable cloud-based data systems, pipelines, and infrastructure to consolidate diverse data sources into a unified source of truth for a global hospitality platform.
Role type
Senior Data Engineer (Cloud Infrastructure & ML Platform)
Builds
Scalable data lakes, warehouses, pipelines, and the Machine Learning Platform infrastructure
Domain
Hospitality Technology / SaaS / Cloud Data Engineering
Deliverable
production ML models | infrastructure | product features
Required skills
Cloud infrastructure design, CI/CD implementation, Infrastructure-as-Code, Data pipeline development, Data consolidation, Observability, Business logic embedding
Preferred skills
GenAI integration, Machine Learning Platform architecture
Technologies
Cloud environments, CI/CD tools, Infrastructure-as-Code frameworks, Data warehouse tools, ML Platform tools
Responsibilities
Own the data development process end-to-end including business understanding, methodology, QA, and maintenance; Design, build, and maintain scalable data systems including data lakes, warehouses, and pipelines; Consolidate diverse data sources (CRMs, APIs, databases, SaaS platforms) into a unified source of truth; Implement and manage CI/CD, observability, and infrastructure-as-code practices in a cloud environment; Build and enhance the Machine Learning Platform delivering infrastructure and tools for Data Scientists; Collaborate with product and engineering teams to identify opportunities for GenAI across the platform and processes.
