Data Engineer
Core
Design, build, and maintain scalable data pipelines, workflows, and data models to transform raw data into trusted assets for analytics, experimentation, and AI applications.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data warehouses, and reporting foundations
Domain
Travel technology / Marketplace
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, cloud platforms (AWS/GCP/Azure), modern data warehouses (BigQuery/Snowflake/Redshift), data orchestration (Airflow/Dagster/dbt), data governance, observability, ETL/ELT processes
Preferred skills
AI/ML workflows, vector databases, embeddings, retrieval systems, LLM-powered applications
Technologies
Airflow, Dagster, dbt, BigQuery, Snowflake, Redshift, AWS, GCP, Azure
Responsibilities
Design and maintain scalable data pipelines and data models; Own and evolve data architecture for reliability and security; Develop datasets and warehouses supporting analytics; Partner with Data Analysts to improve self-service analytics; Build and optimize data infrastructure for AI/ML initiatives; Establish best practices for data governance and monitoring
Seniority
Senior, hands-on IC
