Posted last month
GCP Data Engineer
@ Querentia Inc.
Remote in Canada
Overview
Querentia Inc. is hiring a GCP Data Engineer on a contract basis, remote from Toronto, Canada. The role builds scalable data pipelines on Google Cloud Platform, mainly BigQuery, and develops DBT models for transformation and modeling. Requires at least 5 years of data engineering experience with strong SQL and basic to intermediate Python.
Responsibilities:
- Build and maintain scalable data pipelines on GCP, primarily BigQuery
- Develop and manage DBT models for clean, tested datasets
- Write complex, optimized SQL for extraction and analysis
- Monitor and troubleshoot pipeline performance and data quality
- Automate data workflows with Python
Requirements summary:
- 5+ years in data engineering or similar role
- Strong SQL skills
- Hands-on BigQuery and GCP data services
- Familiarity with DBT
- Basic to intermediate Python
- Git experience
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-10-08
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 5+ years |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Information Systems |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Querentia Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 331 |
Role Name: GCP Data Engineer
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.
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Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
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Write complex, optimized SQL queries for data extraction, transformation, and analysis.
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Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
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Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.
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Monitor and troubleshoot data pipeline performance and data quality issues.
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Automate data workflows and tasks using Python scripts where required.
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Follow data governance, security, and compliance best practices.
Required Qualifications
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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.
Journal
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