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Associate Engineer/Engineer, Data Engineering

Summary

Build and maintain scalable data pipelines and frameworks for ingestion, processing, and storage to support analytics and business insights across Rakuten Kobo's ecommerce and media platforms.

Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment and communications, bringing the joy of discovery and access to more than 1 billion members across the world.

Our platform enables millions of viewers to discover and enjoy primetime shows and movies, subtitled in over 150 languages. Based in Singapore, this role will report to the Engineering Manager.

Key Responsibilities

  • Translate the pipelines into reusable and scalable data pipelines and frameworks for ingestion, processing, storage and consumption.
  • Perform root‑cause analysis on internal and external data systems to answer specific business questions.
  • Improve and maintain the existing application and workflows’ correctness, performance, SLAs and architecture’s integrity.
  • Uphold adherence to the right data engineering practices while building data systems and pipelines, such as writing clean, efficient code, proper automation testing, CI/CD, logging, monitoring and alerting.
  • Participate in code reviews and ensure high standards of code quality, in addition to ensuring that development guidelines are followed.

Requirements

  • Bachelor’s or Master’s in Computer Science or a related field.
  • 1‑4 years of experience in Data / Backend / SRE / Platform Engineering (fresh graduates are also encouraged to apply).
  • Good communication skills and ability to explain technical concepts, thoughts, ideas or issues to team members.
  • A self‑starter and self‑driven attitude with an appetite for continuous learning and improvement.
  • Good working SQL knowledge and experience working with relational databases.
  • Experience building big data data pipelines and data sets.
  • Working knowledge of the big data stack such as Hadoop, Spark, Kafka, Hive, etc., or equivalent SQL and NoSQL databases.
  • Orchestration or workflow management tools such as Airflow or equivalent.
  • Any cloud experience is good to have, but not mandatory.
  • Stream‑processing systems: Flink, Spark‑Streaming, etc., or equivalent.
  • Experience with one or more object‑oriented/object‑function scripting languages: Python, Scala or equivalent.

Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

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