GCP Data Engineer
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Oct 9, 2026. Querentia scores C on the Alion truth index.
Work Location: Toronto, Canada (Remote)
Job Summary
We are seeking an experienced GCP Data Engineer with hands-on expertise in Google Cloud Platform (GCP), particularly BigQuery, and familiarity with DBT for data transformation and modeling. The ideal candidate will have strong SQL skills, a solid understanding of data warehousing concepts, and basic to intermediate Python skills for scripting and automation. Experience working with large-scale operational and customer interaction datasets is preferred.
Key Responsibilities
Design, build, and maintain scalable data pipelines using GCP services, primarily BigQuery.
Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
Write complex, optimized SQL queries for data extraction, transformation, and analysis.
Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.
Monitor and troubleshoot data pipeline performance and data quality issues.
Automate data workflows and tasks using Python scripts where required.
Follow data governance, security, and compliance best practices.
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
At least 5 years of experience in data engineering or a similar role.
Strong SQL skills, including the ability to write complex and efficient queries.
Hands-on experience with BigQuery and other GCP data services.
Familiarity with DBT for data transformation and modeling.
Solid understanding of data warehousing principles and best practices.
Basic to intermediate Python skills for scripting and automation.
Familiarity with version control systems such as Git.
Strong problem-solving, analytical, and communication skills.
Preferred Qualifications
Experience working with large-scale operational, customer interaction, or network-related datasets.
Exposure to data transformation, modeling, and workflow automation best practices.
Skills
GCP, Data Engineering