Data Engineer
Core
Design, build, and maintain scalable data pipelines and foundational data products that power real-time intelligence for the hospitality industry.
Role type
Senior Data Engineer (Data Products)
Builds
Streaming and batch data pipelines, core data entities, and trusted data domains for downstream ML models and product features.
Domain
Hospitality technology / Data infrastructure
Deliverable
production ML models
Required skills
Python, cloud database solutions (BigQuery, Snowflake, Databricks), data pipeline development, data modeling, microservice architectures, data streaming systems (Kafka, Google Cloud Pub/Sub), infrastructure as code (Terraform), container orchestration (Kubernetes), data orchestration (Airflow), data transformation (dbt), data governance (Atlan), data quality tools (Soda), AI/LLM integration.
Preferred skills
Mentoring engineers, product engineering mindset, AI-first development culture.
Technologies
GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan, Soda, Kafka, Google Cloud Pub/Sub.
Responsibilities
Design and implement streaming and batch data pipelines; collaborate with stakeholders to understand data needs; improve data quality, latency, and reliability; embed AI intelligence into the platform; mentor other engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities
