Data Science Engineer III (Bengaluru)
Sabre · Bengaluru
- Experience0–4 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted25 Sept 2026
About Sabre
Sabre is hiring in Bengaluru in hospitality travel. This role looks for around 0+ years of experience.
Skills
- data engineering
- streaming data solutions
- cloud-based data platforms
- data pipelines
- data processing systems
- batch data solutions
- real-time data integration
- AI/ML
The role
A data engineer at a travel technology company builds scalable data pipelines for real-time data integration and AI/ML-driven customer products, using data engineering and streaming data solutions. The role also applies cloud-based data platforms to improve data quality and system performance.
Full job description
Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the worlds largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.
Development & Engineering Data Engineer
Team Description
Sabre is seeking a talented Data Engineer to support the Data Intelligence team. This person will report to the Engineering Manager Data Intelligence.
The Data Intelligence team is responsible for building and maintaining scalable data pipelines, streaming systems, and analytics platforms that power customer-facing products and insights. The team works on large-scale data processing, real-time data integration, and enabling AI/ML-driven use cases for airline customers.
At Sabre, were passionate about building software that solves real-world problems. In this role, you will plan, design, develop, and test data systems and applications for enhancements and new products, including cloud-based and real-time data platforms.
Role and Responsibilities
Develop, build, test, and maintain scalable data pipelines and data processing systems
Design and improve batch and streaming data solutions using modern data technologies
Work on complex data problems requiring deep understanding of business context and data flows
Ensure high data quality, reliability, and performance across systems
Follow and promote best practices in coding, data engineering, and system design
Collaborate with product managers, architects, and cross-functional teams to deliver data solutions
Contribute to cost optimization and effective usage of data plat .