Data Engineer

Our JourneyShopBack started as a spark of inspiration one night in 2014 when Henry and Joel were brainstorming ideas in Henry’s car. That lightbulb moment — earning Cashback while shopping online — was just the beginning. Fueled by the countless possibilities, the team locked themselves in a hotel room for 24 hours to code the very first prototype. Their mission? To revolutionize shopping by helping advertisers market more cost-effectively, while making every purchase more rewarding for shoppers.
Today, ShopBack is the leading shopping, rewards, and payments platform in Asia-Pacific, empowering 45 million shoppers across 12 markets. With 20,000+ partners and over half a million transactions daily, we’re redefining the way the world shops. As we expand globally, we’re looking for adventurous, driven individuals to help us build The World’s Most Rewarding Way to Shop.
At ShopBack, our engineering teams build scalable platforms and utilize leading technologies to build a world-class product. You will join a diverse and talented team of aspiring engineers with great ambition to impact the eCommerce landscape. We are seeking team members who strive to solve hard problems, take pride in delivering world-class products, and are strong team players. You will get an opportunity to work on building scalable data systems that help drive the organization’s data-driven decision-making and play a direct impact on growth.
As a Data Engineer in our team, you will be responsible for designing, building, and optimizing data transformation workflows using cutting-edge technologies like DBT, PySpark, Airflow, and HUDI. Collaborate with a dynamic team of data engineers, analysts, and business stakeholders to deliver efficient, reliable data pipelines that drive our e-commerce business. If you have hands-on experience with data transformation tools, a strong analytical mindset, and a passion for solving complex data challenges, apply now!

Your Adventure Ahead

• Work with business stakeholders to understand e-commerce data requirements and translate them into robust data models and transformations.
• Design, develop, and maintain data transformation pipelines using DBT and PySpark.
• Ensure data quality, integrity, and performance by implementing best practices in testing, monitoring, and optimization.
• Troubleshoot and resolve issues related to data pipelines, performance bottlenecks, and downstream data consumption.
• Contribute to the continuous improvement of our data infrastructure, processes, and tooling.
• Document processes, workflows, and technical designs to support team knowledge sharing and onboarding.

Essentials to Succeed

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
• 3+ years of experience in data engineering, data analytics, or a related role.
• Hands-on experience with the design and implementation of dimensional data models.
• Experience working with cloud storage solutions, preferably Amazon S3.
• Knowledge of workflow orchestration tools like Apache Airflow.
• Strong SQL skills and experience with data modeling concepts.
• Analytical mindset with the ability to solve complex problems and optimize data workflows.
• Excellent communication skills and a collaborative team-oriented approach.

Bonus Points

• Familiarity with Apache HUDI, and knowledge of similar table formats like Apache Iceberg or Databricks Delta Lake is a plus.
• Experience working in e-commerce companies, with a good understanding of key data domains such as customer behavior, sales, inventory, or marketing analytics.
• Experience in managing data warehouse models for large complex business requirements.
• Familiarity with AWS as the cloud platform.
• Exposure to CI/CD practices for data pipeline deployment.
• Understanding of data governance, security, and compliance best practices.

ShopBackers' DNAGrit - We tackle all challenges head-on, working together to solve problems and achieve success.Hunger - We value hard work, and having relentless drive.Speed - We move fast and have a bias for action, all to deliver maximum impact.Impact - We focus on results, always aiming for the best possible outcomes and timelines.Growth - We embrace a growth mindset, constantly striving to learn, improve, and excel in our roles.
Exclusively for ShopBackersCareer progression paths and opportunities to take on greater challenges that help you realise your ambitions.Be part of a winning team on a journey to global scale.Competitive compensation based on your performance.Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day.Work-From-Anywhere benefit to enable you to thrive personally and professionally.
ShopBack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. Join our team and help us make a difference!
We are committed to protecting your data and ensuring fairness in our recruitment process. As part of this process, we use AI tools to assist with tasks such as application screening and candidate matching. These tools are designed to enhance efficiency and reduce bias, and their use complies with applicable data protection laws and our commitment to fair employment practices. Your personal data will be processed securely and transparently, and final hiring decisions are always made by our recruitment team, not by automated systems. If you have any questions about how your data is used, or wish to exercise any of your rights including the right to such processing, please contact us at dpo@shopback.com.