Senior Software Engineer - Data

Our Journey

ShopBack 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 the 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 Senior Software Engineer in our Data Platform team, you will be responsible for ensuring the scalability, reliability, and efficiency of our data ecosystem, which includes streaming technologies such as Kafka, Flink, CDC, and batch processing technologies such as Airflow, Spark, and DBT. If you are passionate about these technologies, and love building large-scale data distributed data systems, we’d love to hear from you!

Your Adventure Ahead

• Collaborate with various stakeholders to translate business requirements into data solutions.
• Design, implement, and manage robust data pipelines to support batch and streaming workloads.
• Contribute to the ideation, technical design, implementation, and testing of scalable data pipeline solutions.
• Enhance and optimize existing data pipelines & infrastructure.

Essentials to Succeed

• Proficient in Java, Scala, or Python programming languages.
• Experience working in building and optimizing JVM applications written in Java or Scala.
• Experience with distributed data processing using Apache Flink and Apache Spark.
• Expertise in ETL/ELT frameworks (Airflow, DBT, Spark, etc.).
• Proficiency in working with Amazon S3 as object storage, and Parquet file format.
• Strong ability to reason about data structures, complexity, and possible engineering approaches to a problem.

Bonus Points

• Stream processing experience with Change Data Capture and the Kafka ecosystem.
• Experience with modern DataLake table formats like HUDI, IceBerg, or DeltaLake.
• Understanding of containerization technologies with Docker & Kubernetes.

ShopBackers' DNA

Grit - 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 ShopBackers

Career 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 [email protected].