Posted 3 months ago
Senior Data Engineer – Marketing Operations
@ Querentia Inc.
Toronto, Ontario
Overview
Querentia Inc. is hiring a Senior Data Engineer on a contract basis for its Marketing Operations team. The role builds and optimizes data transformation pipelines using dbt, Python and Snowflake, and coordinates delivery with client and offshore teams. The posting asks for 6-8 years of IT experience, including 4-5 years in data engineering.
Responsibilities:
- Develop and maintain dbt, Python and Snowflake transformation pipelines
- Design and optimize ETL workflows, API integrations and data models
- Build and manage dbt projects with CI/CD and job scheduling
- Coordinate with client stakeholders and offshore teams
Requirements summary:
- 6-8 years of IT experience, 4-5 years in data engineering
- Expert-level SQL and strong dbt, Python and Snowflake skills
- Experience with CI/CD, job schedulers and pipeline automation
- Experience with distributed or offshore teams is highly desirable
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-07-26
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-11-02
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 6+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
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: Senior Data Engineer - Marketing Operations
Job Summary
We are seeking a Senior Data Engineer with 6-8 years of IT experience to build and optimize data transformation pipelines for Marketing Operations. The ideal candidate will have strong expertise in dbt, Python, SQL, and Snowflake , along with experience developing scalable ETL pipelines and collaborating with client and offshore teams.
Key Responsibilities
•
Develop and maintain data transformation pipelines using dbt , Python , and Snowflake .
•
Design and optimize ETL workflows, API integrations, and data models.
•
Build and manage complex dbt projects, including CI/CD pipelines and job scheduling.
•
Write and optimize advanced SQL for data transformation and analytics.
•
Collaborate with client stakeholders and offshore teams to deliver high-quality data solutions.
•
Delegate tasks, track delivery progress, and ensure timely project execution.
•
Support data warehousing initiatives and optimize data platform performance.
Required Skills & Experience
•
6-8 years of IT experience with 4-5 years in Data Engineering.
•
Strong expertise in:
•
dbt
•
SQL (Expert Level)
•
Python
•
Snowflake
•
Experience with CI/CD , job schedulers, and data pipeline automation.
•
Strong understanding of ETL development, API integrations, and data warehousing concepts.
•
Knowledge of Snowflake architecture is preferred.
•
Excellent communication, stakeholder management, and collaboration skills.
•
Experience working with distributed/offshore teams is highly desirable.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.