Senior Data Engineering

CGI

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profile Job Location:

Toronto - Canada

profile Monthly Salary: $ 95000 - 145000
Posted on: 5 days ago
Vacancies: 1 Vacancy

Job Summary

Position Description:

This role is hybrid and requires you to be onsite at our downtown Toronto and/or client office a minimum of 2 days per week (subject to change).

We are seeking an experienced Data Engineering with strong expertise in building scalable data pipelines and supporting AI/ML initiatives. The ideal candidate will work across data engineering and AI workflows contributing to modern data platform development and enterprise AI integration.

Your future duties and responsibilities:

- Design build and maintain scalable data pipelines (batch and real-time)
- Develop and optimize ETL/ELT workflows using modern data tools
- Build and support AI/ML pipelines including:
- Data ingestion and feature engineering
- Model integration and deployment
- Develop agent-based systems and orchestration pipelines for AI use cases
- Integrate LLMs and AI services into enterprise workflows
- Ensure data quality reliability and performance across platforms
- Collaborate with Business Systems Analysts (BSAs) architects and business stakeholders
- Implement data governance security and compliance controls
- Support CI/CD pipelines and DevOps practices for data and AI systems
- Troubleshoot and optimize data workflows in production environments

Required qualifications to be successful in this role:

- 5 years of experience in data engineering
- Strong programming skills in Python and SQL
- Hands-on experience with:
- Data platforms such as Databricks Snowflake or similar
- Pipeline orchestration tools such as Airflow Azure Data Factory (ADF) or similar
- Proven experience building and scaling data pipelines
- Exposure to AI/ML systems or Generative AI applications
- Understanding of:
- APIs and microservices
- Distributed systems
- Experience working in cloud environments (Azure preferred)
Nice-to-Have:
- Experience with LLM frameworks (e.g. LangChain Semantic Kernel)
- Familiarity with vector databases (e.g. Pinecone FAISS)
- Experience with streaming technologies (e.g. Kafka Spark Streaming)
- Knowledge of MLOps practices
- Experience in banking or other regulated environments
- Understanding of data security and privacy frameworks

Disclaimer : Use of the term engineering in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

**CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level geographic market experience and training and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95000$145000. This role is an existing vacancy.**

#LI-AV1

Use of the term engineering in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

Skills:

  • Cloud Computing
  • Data Engineering
  • Financial Services
  • Microservices
  • RESTful (Rest-APIs)
  • Snowflake

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer being able to perform your best during the recruitment process is important to us. If you require an accommodation please inform your recruiter.

To learn more about accessibility at CGI contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our teamone of the largest IT and business consulting services firms in the world.


Required Experience:

Senior IC

Position Description:This role is hybrid and requires you to be onsite at our downtown Toronto and/or client office a minimum of 2 days per week (subject to change).We are seeking an experienced Data Engineering with strong expertise in building scalable data pipelines and supporting AI/ML initiativ...
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