Background

The rewards program of this company has been rolled out in more than 15 markets and will expand to additional markets in FY26.
The program enables over 80% of their members to enjoy loyalty benefits, driving higher engagement and revenue. The company is also strengthening its membership foundation to deliver personalized experiences and boost customer lifetime value.

To support data-driven decision-making and improve BI and analytics efficiency, we need a Data Engineer.
The main focus: data quality and data pipelines—enabling global analytics teams to build dashboards and markets to use reliable data for reporting and analysis.

Scope of Work

• Develop and maintain data models and pipelines for rewards rollout and membership foundations.
• Enhance data quality, accessibility, and integration for global and market users.
• Build a sustainable data foundation for advanced analytics and AI use cases.

Requirements

Must-have skills & experience:

• Strong proficiency in SQL
• Broad knowledge of data processing for large datasets
• Experience with data pipeline orchestration tools (e.g., dbt, Airflow)
• Hands-on experience with cloud platforms (AWS, GCP) and tools like BigQuery
• Experience with build/deploy tools (e.g., Jenkins) and infrastructure frameworks (e.g., Terraform)
• Familiarity with version control systems (e.g., Git)
• Knowledge of data modeling, schema design, and performance tuning

Top 3 Priorities

1. Strong proficiency in SQL
2. Knowledge of data modeling, schema design, and performance tuning
3. Experience with data pipeline orchestration tools (e.g., dbt, Airflow)