Job Description

**Why Biglife**


We’re not just about flights—we’re 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, we’re looking for a Data Engineer I who’s 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:**

  • Bachelor’s or Master’s 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**

  • 1–2 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 ฺBiglife**

  • Work on one of Southeast Asia’s 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.



**Search Firm Representatives** \- AirAsia does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre\-existing agreement is in place.

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Job Overview
Job Posted:
4 months ago
Job Expire:
11mos 3w
Job Type
Full time
Job Role
Total Vacancies
1

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