Data Engineering
Toronto, CANADA
Job description
Position Description:
This role is hybrid and requires you to be at our downtown Toronto and/or Client office at a minimum 4 days per week - subject to change at any time.
We are seeking a highly motivated Data Engineering to join a cross-functional team focused on building scalable, high-performance data solutions. This role requires a strong foundation in distributed data processing, hands-on engineering expertise, and the ability to collaborate effectively with both technical and business stakeholders
Your future duties and responsibilities:
. Collaborate with business stakeholders and end users to understand requirements, perform gap analysis, and translate needs into technical solutions
. Partner with architecture teams to design scalable, reliable, and integrated data solutions.
. Develop, enhance, and maintain data applications and pipelines in production environments.
. Participate in the full software development lifecycle, including requirements gathering, design, development, testing, and deployment.
. Design and implement efficient and scalable data models and database schemas.
. Develop and execute comprehensive testing strategies, including functional, regression, performance, and non-functional testing driving automation wherever possible.
. Build and maintain CI/CD pipelines, including deployment automation and promotion of code across environments.
. Provide production support, troubleshooting, and continuous improvement of deployed solutions.
. Optimize data processing and improve end-user experience by solving complex queries and performance bottlenecks.
. Communicate effectively with both technical and non-technical stakeholders. Refactor and modernize legacy codebases as required.
. Mentor team members and provide guidance to end users where necessary.
. Actively participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives
Required qualifications to be successful in this role:
1. 4+ years of experience developing, deploying, and maintaining large-scale, production-grade applications with complex integrations
2. 3+ years of hands-on experience with Python and/or Scala
3. 3+ years of experience in data engineering, including:
4. Distributed data processing using Apache Spark (PySpark/Scala)
5. Real-time streaming and batch processing frameworks
6. Strong experience with SQL (writing, optimizing, and troubleshooting queries)
7. Experience with both relational and non-relational databases
8. Hands-on experience with modern data platforms and tools such as Databricks, Kubernetes, Azure, and/or GCP
9. Experience working in Agile environments with a solid understanding of Test-Driven Development (TDD)
10. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Soft Skills
1. Strong communication and presentation skills, with the ability to explain complex concepts clearly
2. Collaborative team player with a proactive and ownership-driven mindset
3. Strong focus on quality while balancing timelines and deliverables
4. Open to feedback and continuously seeks improvement
5. Interest in or willingness to learn about financial markets
Preferred Qualifications
1. Experience with CI/CD and automated deployment pipelines
2. Understanding of networking fundamentals and distributed systems concepts
3. Knowledge of security best practices and data protection principles
"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.
Skills:
· Apache Spark
· Financial Services
· Kubernetes
· Python
· Scala
· SQLite
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.