Data Engineer
Core
Design, build, and maintain robust data pipelines and models to power business intelligence and reporting capabilities for a global hotel commerce platform.
Role type
Senior hands-on data engineer (ETL/ELT & platform optimization)
Builds
Scalable ETL/ELT data pipelines, data features, and services on Databricks and AWS
Domain
Hotel commerce technology, cloud data infrastructure
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Databricks, DBT, AWS, Terraform, Airflow, Spark Structured Streaming, Delta Lake, Unity Catalog
Preferred skills
Databricks Certification, SOC2/GDPR compliance knowledge, LLMs and AI frameworks
Technologies
Databricks, AWS, Terraform, Airflow, Spark, Delta Lake, Unity Catalog, DBT
Responsibilities
Develop and maintain high-quality, scalable ETL/ELT data pipelines; Lead development of new data features and services across the product lifecycle; Create CI/CD controlled data engineering deployments; Collaborate with Product Managers and Data Scientists to solve complex data challenges; Take technical ownership of major components of data platform architecture; Analyse workloads to identify inefficiencies and savings opportunities; Implement continuous monitoring and intelligence dashboards for cost and performance optimization
Seniority
Senior, hands-on IC
