Job Description

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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 Inc. is seeking an experienced Analytics Engineer to join our Data Storytelling & Insights team. This role bridges the gap between data engineering and analytics, building scalable, reliable, and well-modeled data for reporting, dashboards, and machine learning applications. In this role, you will create core data models and integrated views that bring together customer, product, and transactional data, ensuring a single source of truth for reporting and machine learning use cases.
Key Responsibilities:

• Design and implement robust data models, including core data tables and 360-degree integrated views, for BI and ML consumption.
• Develop, test and maintain reliable ETL/ELT pipelines that cleans and transforms data using Dataform, ensuring data quality, consistency, and performance.
• Collaborate with engineers, analysts, data scientists, and stakeholders to translate requirements into scalable solutions.
• Document transformation logic and optimize queries for efficiency, governance, and security so both technical and non-technical users can self serve.

The Skill Set:
Must-haves

• Bachelor's degree in Computer Science, Data Science, or related field.
• 5+ years in analytics engineering or data engineering, with solid understanding of ETL/ELT workflows.
• Expert SQL skills (window functions, nested data, handling arrays) and deep experience with data modeling (preferably medallion data model).
• Proficiency working with modern data warehouses like BigQuery (preferred) or Snowflake.
• Hands-on experience with Dataform (preferred) or dbt.
• Familiarity with Python for data processing and ML integration.
• Proficiency working in cloud experience with GCP preferred.
• Excellent problem-solving, documentation, and cross-functional collaboration skills.

Nice to haves

• Familiarity with BI tools (e.g. Tableau, Looker, Domo).
• Experience with ML feature engineering and CI/CD for data pipelines.

The Perks:

• Flexible hours and hybrid remote working environment
• Subsidized in-office lunches
• Four extended long weekends in the summer
• Full benefits starting from your first day
• Paid Volunteer days, unlimited sick days, and 3% RRSP matching
• Work From Anywhere Program for up to 3 months (90 days)
• Monthly commuting allowance for those who are hybrid
• Lifestyle spending account
• Talent and development training budget
• Free Kobo device + free weekly e-book or audiobook
• Weekly Kobo Tech University sessions
• Maternity/paternity leave top up
• Dog friendly office

About Rakuten Kobo Inc.
Rakuten Kobo Inc. is the world's digital bookseller created by and for booklovers. Owned by Tokyo-based Rakuten Group, Inc. and headquartered in Toronto, Rakuten Kobo's millions of worldwide users can read anytime, anywhere, and on any device. With a mission to make reading lives better for all, Rakuten Kobo connects readers to stories using thoughtful and personalized curation of eBooks and audiobooks, and the best dedicated eReaders and apps for reading. With the singular focus of making reading lives the best they can be, Kobo's open platform allows people to fit reading into more moments in their busy lives. To learn more about Rakuten Kobo, visit www.kobo.com.
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.
#RKIND
Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
Always improve, Always Advance - Only be satisfied with complete success - Kaizen
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
Hypothesize - Practice - Validate - Shikumika - Use the Rakuten Cycle to succeed in unknown territory
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team
Rakuten 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 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:
At the time of posting, Rakuten expects the Compensation (base salary + discretionary bonus) for this role to be within the range shown below. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location. The successful applicant for this role will be eligible for stock options, health, vision, dental insurance, RRSP matching, Personal Time Off (PTO), Volunteer Time Off (VTO), and other employee benefits as the company implements.
CAD $107,957.00 - 157,957.00 annually

Skills Required