Data Engineer

Direct Travel is a travel management company that combines technology, service, and travel expertise across corporate, leisure, meetings and events, and specialty travel. The Data Engineer will build and maintain scalable data pipelines and unified data environments using travel-related data to support analytics, personalization, forecasting, optimization, and customer experience improvements.

Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines for ingesting data from internal and external travel-related sources (e.g., GDSs, OTAs, CRM systems)
• Collaborate with data analysts, data scientists, and product teams to understand data needs and deliver high-quality, reliable datasets
• Integrate data from various platforms including booking engines, mobile apps, customer service systems, and web analytics tools
• Develop and optimize data models and schemas in cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
• Implement data quality checks and monitoring to ensure the accuracy and reliability of data
• Support real-time data streaming for dynamic pricing, inventory updates, and customer interactions
• Ensure data privacy, governance, and compliance with regulations like GDPR and CCPA

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 4+ years of experience in data engineering or backend data development and integration
• Proficiency in SQL and at least one programming language (Python, Java, Scala)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data stacks (Airflow, dbt, Kafka, IDMC, etc.)
• Knowledge of data warehousing concepts and tools
• Experience in the travel or hospitality industry
• Familiarity with travel data formats and systems (e.g., PNRs, GDS, IATA standards)
• Exposure to predictive analytics, personalization, or recommender systems
• Understanding of API integrations with travel platforms and third-party services