Posted 19 days ago
GCP Data Engineer – B2
@ Querentia Inc.
Toronto, Ontario
Overview
Querentia Inc. is hiring a GCP Data Engineer on contract, with a possible three-month contract-to-hire opportunity, based onsite in Toronto. The role builds and maintains scalable data pipelines on Google Cloud Platform, primarily BigQuery, with DBT modeling and Python automation. Five years of data engineering experience and strong SQL are required.
Responsibilities:
- Design and maintain scalable GCP data pipelines, primarily BigQuery
- Develop and manage DBT models for clean, tested datasets
- Write complex, optimized SQL for extraction and analysis
- Automate data workflows with Python scripts
- Monitor and troubleshoot pipeline performance and data quality
Requirements summary:
- Five years of data engineering experience
- Strong SQL skills
- Hands-on BigQuery and GCP data services experience
- Bachelor's degree in Computer Science, Information Systems or related field
- Basic to intermediate Python proficiency
- Familiarity with Git
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-10-18
- 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 | Data & analytics |
| Experience | 5+ years |
| Travel | air: none · ground: none |
| Work setting | Office |
| 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 |
Job Title: GCP Data Engineer 2 - B2 - Canada
Work Site: Toronto, Canada (Onsite)
Employment Type: Contract with a possible 3-month Contract-to-Hire (CTH) opportunity
Job Summary
We are seeking a GCP Data Engineer with hands-on experience in Google Cloud Platform (GCP) services, particularly BigQuery, and knowledge of 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 proficiency in Python for scripting and automation.
A strong understanding of Agentic technologies and knowledge of the telecommunications (Telecom) domain would be an added advantage.
Key Responsibilities
•
Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), primarily using BigQuery.
•
Develop and manage DBT models to transform raw data into clean, tested, and documented datasets, if required.
•
Write complex and 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 necessary.
•
Ensure data governance, security, and compliance standards are met.
Required Qualifications
•
Bachelor's degree in Computer Science, Information Systems, or a related field.
•
5 years of experience in data engineering or a similar role.
•
Strong expertise in SQL, with the ability to write efficient and complex queries.
•
Hands-on experience with BigQuery and other GCP data services.
•
Solid understanding of data warehousing principles and best practices.
•
Basic to intermediate proficiency in Python for scripting and automation.
•
Familiarity with version control systems such as Git.
•
Excellent problem-solving and communication skills.
Preferred Qualifications
•
Knowledge of DBT for data modeling and transformation.
•
Strong understanding of Agentic technologies.
•
Knowledge or experience in the telecommunications (Telecom) domain.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.