Posted 3 months ago
Senior Data Platform Engineering Specialist
@ CGI
Toronto, Ontario
SIGNALS
Overview
CGI is hiring a Senior Data Platform Engineering Specialist for its Data Platform Engineering consulting practice in Toronto or Montreal. The role designs, implements and supports modern data platforms (lakes, warehouses and lakehouses) for enterprise clients while remaining a permanent CGI team member. Bilingual English and French is preferred.
Responsibilities:
- Design, implement and support data lakes, warehouses and lakehouses
- Modernize client data ingestion, storage and processing
- Operationalize machine learning models
- Contribute to reusable data assets
Requirements summary:
- Senior data engineering experience
- Strong data engineering fundamentals
- Understanding of DataOps principles
- Adaptability and continuous learning
- Bilingual English and French preferred
Tools & skills
Source and dates
Source type not verified · njoyn
- Employer posting date
- 2026-08-10
- First seen by our source
- 2026-10-17
- Source record updated
- 2026-10-17
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 | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English, French |
Summary and details written by AI from the posting; the employer’s posting is the authority.
CGI
| Field | Value |
|---|---|
| Company size | 10001+ |
| Headquarters | E-Commerce Place |
| Open jobs on Jobsy | 514 |
Job description
Location: Toronto/Montreal Preferred
Languages: Bilingual (English/French) Preferred
Employment Type: Full-Time
CGI is seeking an experienced Senior Data Platform Engineering Specialist to join our growing Data Platform Engineering consulting practice within the Emerging Technologies team.
As a full-time member of CGI, you will become part of a collaborative team of architects, engineers, and consultants delivering enterprise technology solutions for some of Canada's leading public and private sector organizations. While you may be assigned to one or more client engagements, you will remain a permanent member of CGI's Data Platform Engineering practice, collaborating with teammates, contributing to reusable data assets, and continuously developing your technical and consulting expertise.
In this role, you will help clients modernize how they ingest, store, process, govern, and analyze data. You will design, implement, and support modern data platforms (Data Lakes, Data Warehouses, and Lakehouses) that improve data democratization, operationalize machine learning models, and drive business intelligence.
Success in this role requires curiosity, adaptability, strong data engineering fundamentals, and a passion for continuous learning. Rather than specializing strictly in a single technology stack, you will leverage sound DataOps principles to deliver innovative, scalable, and secure data infrastructure across a variety of industries, technologies, and client environments.
Languages: Bilingual (English/French) Preferred
Employment Type: Full-Time
CGI is seeking an experienced Senior Data Platform Engineering Specialist to join our growing Data Platform Engineering consulting practice within the Emerging Technologies team.
As a full-time member of CGI, you will become part of a collaborative team of architects, engineers, and consultants delivering enterprise technology solutions for some of Canada's leading public and private sector organizations. While you may be assigned to one or more client engagements, you will remain a permanent member of CGI's Data Platform Engineering practice, collaborating with teammates, contributing to reusable data assets, and continuously developing your technical and consulting expertise.
In this role, you will help clients modernize how they ingest, store, process, govern, and analyze data. You will design, implement, and support modern data platforms (Data Lakes, Data Warehouses, and Lakehouses) that improve data democratization, operationalize machine learning models, and drive business intelligence.
Success in this role requires curiosity, adaptability, strong data engineering fundamentals, and a passion for continuous learning. Rather than specializing strictly in a single technology stack, you will leverage sound DataOps principles to deliver innovative, scalable, and secure data infrastructure across a variety of industries, technologies, and client environments.
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