Data Engineer

CGI; Toronto; Hybrid; CAD 95,000 - 145,000; Full time

Job summary

A leading IT consulting firm in Toronto is seeking a Data Engineer to design and maintain scalable data platforms. The ideal candidate will develop robust data pipelines using Python and SQL, implement efficient ETL processes, and optimize data storage solutions across platforms like AWS. This role requires strong cloud engineering skills and experience with data warehousing concepts, making it perfect for professionals looking to leverage their technical expertise and contribute to advanced data science initiatives. Competitive salary offered.

Benefits

Competitive salary

Hybrid work model

Career development opportunities

Qualifications

• Strong proficiency in Python with knowledge of R.
• Hands-on experience with MongoDB, HDFS, Hive, and Postgres.
• Advanced SQL skills with query engines like Trino.
• Experience with cloud services on AWS.

Responsibilities

• Design and maintain robust data pipelines using Python and SQL.
• Implement ETL processes for structured and semi-structured data.
• Optimize data storage and access across various platforms.
• Develop and deploy data solutions on AWS.

Skills

Python

SQL

MongoDB

Spark/PySpark

AWS

Docker

Kubernetes

Airflow

Tools

Docker

Kubernetes

Airflow

S3

Postgres

Hive

HDFS

Trino

Job description

We are seeking a skilled Data Engineer to design, build, and maintain scalable, reliable data platforms and pipelines. The ideal candidate will work across cloud‑based and on‑prem data ecosystems, applying strong software engineering principles and modern DevOps practices to support analytics, reporting, and advanced data science use cases.

Location: Downtown Toronto (Hybrid – 4 days office, subject to change at any time).

Your future duties and responsibilities:

• Data Pipeline Development: Design, develop, and maintain robust batch and near‑real‑time data pipelines using Python and SQL to ingest, transform, and serve data at scale.
• ETL & Data Processing: Implement efficient ETL processes for structured and semi‑structured data using Spark/PySpark and distributed storage systems.
• Data Storage & Access: Manage and optimize data storage across MongoDB, HDFS, Hive, S3, Postgres, and query engines such as Trino.
• Workflow Orchestration: Build and operate reliable workflows using Airflow, Luigi, and Rundeck with proper scheduling, dependencies, retries, and monitoring.
• Cloud & Platform Engineering: Develop and deploy data solutions on AWS and enterprise data lake (EDL) platforms, leveraging cloud‑native services and architectures.
• Containerization & Deployment: Package and deploy data workloads using Docker and orchestrate them with Kubernetes / OpenShift (OCP).
• Data Modeling & Warehousing: Design data models, schemas, and data warehouses optimized for analytics and reporting performance.
• Collaboration: Partner with data scientists, analysts, and application teams to deliver high‑quality, trusted datasets.
• Operational Excellence: Write clean, testable, and maintainable code; monitor pipelines, troubleshoot failures, and continuously optimize performance and cost.

Required qualifications to be successful in this role:

• Core Tools & Technologies
• Programming: Strong proficiency in Python; working knowledge of R is a plus.
• Data & Storage: Hands‑on experience with MongoDB, S3, Hive, HDFS, Postgres, and distributed processing using Spark / PySpark.
• Query & Analytics: Advanced SQL skills with modern query engines such as Trino.
• Containers & Platforms: Experience with Docker, Kubernetes, and OpenShift (OCP).
• Orchestration & Collaboration Tools: Practical exposure to Airflow, Luigi, Rundeck, Domino Data Labs, and JupyterHub.
• Cloud: Strong experience with AWS and enterprise EDL environments.

• Processes & Conceptual Knowledge
• End‑to‑end data pipeline creation and management
• ETL/ELT patterns and best practices
• Data warehousing concepts and performance optimization
• Data modeling (logical & physical)
• Cloud architecture for data platforms
• Solid understanding of software engineering principles (version control, code reviews, testing)
• Experience working in Agile / DevOps environments, including CI/CD for data workloads

• Nice to Have (Preferred)
• Exposure to streaming or near‑real‑time data processing
• Experience with data quality frameworks and metadata management
• Familiarity with security, access control, and data governance in cloud platforms
• Prior experience supporting analytics, BI, or ML workloads

• Deliverables & Impact
• Scalable, reusable data pipelines and frameworks
• Well‑modeled, high‑quality datasets for analytics and reporting
• Stable, observable, and cost‑optimized data platforms
• Clear documentation and knowledge sharing across teams

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 $95,000–$145,000. This role is an existing vacancy.

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.

• Code Review
• Database Design
• Performance/Stress Testing
• Software Architecture
• Software Design Patterns
• Financial Services
• Python

What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll 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. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll 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.

You’ll shape your career by joining a company built to grow and last. You’ll 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 team—one of the largest IT and business consulting services firms in the world.