Senior Data Engineer, GCP (6 month contract)

Rakuten Kobo; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A digital reading company is seeking an experienced Senior Data Engineer to transform legacy data and implement a modern data mesh strategy. You will optimize data pipelines and ensure data quality for analytics and AI use cases. The role requires strong experience with Google Cloud Platform, SQL, Python, and data engineering practices. Excellent communication skills are essential.

Qualifications

• 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.
• Strong communication skills.

Responsibilities

• Transform legacy assets from Hadoop and SQL to BigQuery.
• Build and optimize data pipelines using Google Dataform and Airflow.
• Implement data mesh architecture for analytics-ready datasets.
• Collaborate with teams to understand data needs.
• Ensure data quality and governance using Dataplex.

Skills

Data Engineering

Google Cloud Platform (GCP)

BigQuery

SQL

Python

Dataform (dbt)

Airflow

Data Quality

GitHub CI / CD

Communication

Job description

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