Job Description:
Here at Rakuten Kobo Inc. we offer a casual working start-up environment and a group of friendly and talented individuals. Our employees rank us highly in terms of commitment to work/life balance. We realize that for our people to be innovative, creative and passionate they need to feel valued and supported. We believe in rewarding all our employees with competitive salaries, performance based annual bonuses, stock options and training opportunities.
If you’re looking for a company that inspires passion, personal, and professional growth – join Kobo and come help us on our mission of making reading lives better.
The Role:
Rakuten Kobo is seeking an experienced Senior Data Engineer, GCP (6 month contract) to support a high-priority initiative focused on transforming legacy data infrastructure and implementing a modern data mesh strategy. You will work closely with the marketing team data engineering team to identify missing data and ingest them, build wide analytical tables (e.g., Customer 360), and ensure data is accessible for reporting, analytics and AI/ML use cases.

Responsibilities:

• Transform legacy assets from Hadoop and SQL to BigQuery
• Build and optimize data pipelines using Google Dataform (dbt) and Airflow
• Implement data mesh architecture by combining small tables into wide, analytics-ready datasets
• Collaborate with marketing and data engineering teams to understand data needs and deliver high-quality solutions
• Ensure data quality and governance using Dataplex

Must-Haves:

• 5+ years in Data Engineering roles
• Strong experience with Google Cloud Platform (GCP) and BigQuery
• Advanced SQL and Python skills
• Proficiency with Dataform (or dbt), Airflow, and Dataplex
• Experience with GitHub CI/CD and Dataplex
• Strong communication skills and ability to engage with business stakeholders

Nice-to-Haves:

• Experience with metadata management
• Prior work in marketing analytics or campaign data
• Familiarity with Customer 360 or similar wide-table strategies

About Rakuten Kobo Inc.
Owned by Tokyo-based Rakuten and headquartered in Toronto, Rakuten Kobo Inc. is one of the most advanced global ecommerce companies, with the world’s most innovative e-reading services offering more than 6 million eBooks and audiobooks to 30 million + customers in 190 countries. Kobo delivers the best digital reading experience through creative innovation, award-winning e-readers, and top-ranking mobile apps. Kobo is a part of the Rakuten group of companies.
Rakuten Kobo Inc. is an equal opportunity employer. Accessibility accommodations for candidates with disabilities participating in the selection process are available on request. Any information received related to accommodation needs of applicants will be addressed confidentially.
Rakuten Kobo would like to thank all applicants for their interest in this role however only qualified candidates will be shortlisted.
Beware of fraudulent job offers claiming to be from Rakuten. Rakuten does not send unsolicited job offers or request money during the recruitment process. Learn more:
https://rakutenemploymentalert.com/

• Transform legacy assets from Hadoop and SQL to BigQuery
• Build and optimize data pipelines using Google Dataform (dbt) and Airflow
• Implement data mesh architecture by combining small tables into wide, analytics-ready datasets
• Collaborate with marketing and data engineering teams to understand data needs and deliver high-quality solutions
• Ensure data quality and governance using Dataple