Airline Loyalty Data Engineer
7 hours ago
Description
• Design and build ETL pipelines to handle loyalty transactions, including points accrual, redemptions, and tier upgrades. • Integrate and process passenger datasets to enable downstream use cases like customer segmentation and personalisation. • Optimise and manage our AI data models by monitoring customer usage and implementing insights. • Collaborate with machine learning engineers to re-train and optimise models based on business objectives. • Implement and maintain scalable databases and data transformation workflows for high-performance operations.
Requirements
• Bachelor’s degree in Computer Science, Data Engineering, or a related field. • Minimum 2+ years of experience working with airline loyalty CRMs, ancillary systems, or PSS components. • Expertise in ETL processes, data cleansing, enrichment, and modelling. • Proficiency in Python, Node.js, SQL, Apache Airflow, Apache Spark, and Docker. • Experience with cloud databases and tools such as MongoDB, DynamoDB, Amazon Redshift, or similar platforms. • Strong understanding of airline technology, including loyalty workflows, NDC, GDS, and Offer & Order frameworks. • Familiarity with customer segmentation and personalisation use cases.
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