Department Engineering and Technology
LevelEntry Level
LocationSingapore
The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.
About the Team:
The Marketplace App & Mobile Team focuses on building data and intelligence products that enhance user experience and performance across Shopee’s mobile platforms. Our mission is to support key business decisions through high-quality data infrastructure, real-time analytics, and scalable data solutions across app features, user behavior tracking, and performance monitoring.
We empower the mobile product, engineering, and operations teams by delivering timely, accurate, and actionable data. From onboarding experiences and personalization to app stability and feature adoption, we provide the data foundation to support the end-to-end lifecycle of Shopee’s mobile products.
Job Description:
- Participate in the development and optimization of the Marketplace mobile data warehouse, including real-time and offline data ingestion, modeling, and data governance.
- Collaborate with product managers, mobile engineers, and analysts to gather business requirements, design data pipelines, and build scalable solutions that support mobile product decisions, A/B testing, user behavior analysis, and app performance tracking.
- Work closely with business and tech teams to improve data accessibility and quality across user-facing mobile app features.
- Drive the exploration and adoption of new data engineering technologies to support high-throughput and low-latency data applications.
Requirements:
- Bachelor’s degree or above in Computer Science or a related technical field, graduating from December 2025 to May 2026.
- Familiar with at least one big data processing technology such as: Spark, Flink, Hadoop, HBase, Kafka, Druid, ClickHouse, etc.
- Proficient in at least one programming language: Java, Scala, Python, SQL, etc.
- Solid understanding of data warehouse principles and experience in data modeling, pipeline design, and performance optimization, preferably for mobile or user-facing products.
- Strong problem-solving skills, with good communication and cross-functional collaboration capabilities.
- Experience in supporting mobile product analytics, real-time event tracking, or A/B testing frameworks is a strong plus.
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