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Senior Data Engineer - Insurtech

Hrs
CompanyHrs
CategoryEngineering
LocationHo Chi Minh
RemoteHybrid
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted7 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
HRS AS A COMPANY HRS, a pioneer in business travel, aims to elevate every stay through innovative technology. With over 50 years of experience, their digital platform, driven by ProcureTech, TravelTech, and FinTech, transforms how companies and travelers Stay, Work, and Pay. ProcureTech digitally revolutionizes lodging procurement, connecting corporations and suppliers in a cutting-edge ecosystem. This enables seamless efficiency and automation, surpassing travelers' expectations. TravelTech redefines the online lodging experience, offering personalized content from selection to check-in, ensuring an unparalleled journey for corporate travelers. In FinTech, HRS introduces advancements like mobile banking and digital payments, turning corporate back offices into touchless lodging enablers, eliminating legacy cost barriers. The innovative 2-click book-to-pay feature streamlines interactions for travelers and hoteliers. Combining these technology propositions, HRS unlocks exponential catalyst effects. Their data-driven focus delivers value-added services and high-return network effects, creating substantial customer value. HRS's exponential growth since 1972 serves over 35% of the global Fortune 500 and leading hotel chains. Join HRS to shape the future of business travel, empowered by a culture of growth and setting new industry standards worldwide. BUSINESS UNIT We are building a next-generation, data-driven Insurtech Claims Accommodations Platform designed to unify fragmented data ecosystems across products, geographies, and operational systems into a single scalable, intelligent data core. Today, the customers’ data landscape is distributed across operational databases, third-party accommodation APIs, claims management systems, and analytics pipelines — limiting our ability to generate real-time insights, deploy predictive models, and operationalize AI at scale. This is a cornerstone hire that will define and execute our long-term data-reporting capability and AI strategy, working directly with the core Insurtech team. POSITION We are currently looking for a Senior Data Engineer to join our team of dedicated professionals. You will build AI Agents to build and run the data pipelines, models, and AI Automation Agents. Architect and build the data infrastructure that powers a claims accommodations. WHAT YOU OWN 1. Data Warehouse & Lakehouse Architecture - Design and implement a cloud-native data warehouse on infrastructure stack primarily on Azure / Fabric and a structured data lake on Onelake . Implement dimensional data models optimized for claims analytics, cost reporting, and executive dashboards, both for internal and external customer facing. - Establish data governance policies — data lineage, cataloguing (Purview / Glue), access controls, and PII masking for compliance 2. Data Pipelines & Real-Time Ingestion - Architect and build end-to-end ELT/ETL pipelines ingesting from claims management systems legacy sources (ODBC/SRSS), accommodation APIs (booking platforms, hotel aggregators), policy engines, and hosted operational CRMs - Implement streaming data pipelines to capture real-time claims events, accommodation availability updates, and pricing signals - Build batch ingestion pipelines and orchestrate using Azure Data Factory. Deploy dbt (data build tool) for modular, version-controlled data transformation layers with automated data quality testing - Develop and optimise CDC (Change Data Capture) pipelines from operational PostgreSQL / SQL Server databases 3. Predictive Models & Machine Learning Infrastructure - Build ML-ready feature stores (AWS SageMaker Feature Store) to serve real-time and batch model features. - Develop predictive models for: claims accommodation cost forecasting, length-of-stay prediction, accommodation supplier risk scoring, and demand surge detection - Implement MLOps pipelines for model training, versioning, deployment, and monitoring using MLflow and CI
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