Posted last month
GCP Senior Data Engineer Grade
@ Querentia Inc.
Remote in Canada
Overview
Querentia Inc. is hiring a GCP Senior Data Engineer Grade on a remote contract basis across Canada. The lead role builds and optimizes ETL/ELT pipelines and data platforms on Google Cloud Platform and leads a team of 10 engineers. Candidates must have prior data engineering leadership experience.
Responsibilities:
- Build and optimize ETL/ELT pipelines on GCP
- Architect and manage BigQuery, Cloud Storage and Data Fusion
- Lead a team of 10 engineers and review code
- Optimize pipeline performance and GCP costs
- Implement data validation, lineage and metadata management
Requirements summary:
- Experience leading data engineering teams, onshore and offshore
- Proficiency in SQL, Python and Java or Scala
- Hands-on GCP experience including BigQuery, Dataflow and Dataproc
- Familiarity with CI/CD, Git and infrastructure-as-code
- Experience with production data platforms and monitoring
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-09-29
- 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 | Lead |
| Department | Data & analytics |
| Manages people | Yes |
| Travel | air: none · ground: none |
| Work setting | Home |
| 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 |
GCP Senior Data Engineer Grade
Location: Canada (Remote)
Role Overview
We are seeking a GCP Senior Data Engineer Grade with strong data engineering leadership experience to lead data engineering teams and deliver scalable data platforms and pipelines on Google Cloud Platform.
Key Responsibilities
•
Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.
•
Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage.
•
Lead a team of 10 engineers , review code, establish data engineering standards, and drive CI/CD and monitoring practices.
•
Optimize pipeline performance, query efficiency, and GCP cost management , including slot reservations and partitioning.
•
Work with data architects, data scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.
•
Implement data validation, lineage, and metadata management using tools such as Data Catalog and dbt.
Required Skills & Qualifications
•
Experience leading data engineering teams onshore and offshore . This is a lead position, not a senior data engineer position; candidates without leadership experience will not be considered.
•
Proficiency in SQL, Python, Java/Scala , and distributed systems including Spark and Beam .
•
Hands-on experience with GCP , including BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform.
•
Familiarity with CI/CD, Git, and infrastructure-as-code .
•
Experience with data engineering standards, code reviews, monitoring, and production data platforms.
Nice-to-Have Skills
•
GCP certifications , such as Professional Data Engineer.
•
Experience with real-time processing, Vertex AI, or multi-cloud environments .
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