Job Description

Why Biglife
Were not just about flights were building an intelligent travel and lifestyle ecosystem. At the heart of it is our Loyalty & Rewards program, empowering millions of members with personalized offers, real-time engagement, and seamless redemptions across travel, e-commerce, and lifestyle services.
As we grow our data capabilities, were looking for a Data Engineer I whos passionate about building data solutions that power smarter loyalty experiences.
Key Responsibilities:
Build & Maintain Data Pipelines
Assist in building and maintaining scalable data pipelines to support member profiling, points accrual/redemption, and campaign analytics.
Work with structured and semi-structured data (e.g., JSON from APIs, event logs) and ingest into our loyalty data warehouse.
Participate in data transformation tasks (ETL/ELT) to ensure clean, usable data for downstream analytics and personalization models.
Support Loyalty Analytics & Personalization
Enable data flows for segmentation, campaign targeting, and member engagement tracking.
Collaborate with data analysts and marketers to deliver data for loyalty dashboards, reward redemption insights, and member behavior analysis.
Ensure Data Quality & Accuracy
Help set up basic validation checks to ensure accurate member transactions and clean event logs.
Monitor pipeline health and troubleshoot data issues in coordination with senior engineers.
Cloud & Integration Exposure
Gain hands-on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, and Cloud Functions.
Integrate data from various systems such as Navitaire (for bookings), Firestore (SSO), and third-party engagement tools (e.g., Clevertap).
Required Qualifications:
Education & Experience:
Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
5+ years of hands-on experience in data engineering, with a strong track record of building scalable data pipelines and infrastructure.
Proven experience in building large-scale, cloud-based data infrastructure for high-volume, high-velocity data.
Strong experience with ETL tools, data orchestration frameworks (e.g., Google Cloud Composer), and batch/streaming data processing (e.g., Apache Kafka, Spark).
Experience working with Google Cloud Platform (GCP) or similar cloud services.
Technical Skills:
Who You Are
12 years of experience in a data-related role
Comfortable with SQL and Python; exposure to any cloud environment is a plus (GCP preferred).
Experience with relational and NoSQL databases (e.g., BigQuery, MongoDB, PostgreSQL).
Familiarity with BigQuery, Cloud Storage, Cloud Pub/Sub, Dataflow, Composer, Cloud Functions & Cloud Run.
Familiar with basic ETL concepts and working with APIs or data connectors.
Detail-oriented and curious especially about how data can improve user experience and loyalty.
Eager to learn in a fast-paced, collaborative, and innovative environment.
Experience in containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation) is a plus.
Soft Skills:
Strong problem-solving and analytical skills, with a focus on scalability and efficiency.
Excellent communication and collaboration skills, with experience working in cross-functional teams.
Ability to translate complex technical concepts into business value for non-technical stakeholders.
Passion for mentoring and developing junior team members.
Why Join the Loyalty Data Team at xe0xb8xbaBiglife
Work on one of Southeast Asias largest loyalty ecosystems.
Make a real impact your work powers rewards, promotions, and the everyday travel experience.
Learn from senior data engineers and analysts in a collaborative environment.
Be part of a team that values continuous improvement, innovation, and shared success.
We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be your best.We are committed to creating a diverse work environment and are proud to be an equal opportunity employer.
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