Senior Data Engineer

Job description

Position Description:

This role is hybrid and time.requires you to be at our downtown Toronto and/or Client office at a minimum 4 days per week - subject to change at any

We are seeking a Senior Data Engineer to join a high-performing data engineering team responsible for building and maintaining scalable data pipelines and modern data platforms. The successful candidate will play a key role in designing, developing, and optimizing large-scale data processing solutions while collaborating closely with data architects, software engineers, and business stakeholders.

The ideal candidate brings strong expertise in Spark 3, Scala, and Python, with experience building distributed data processing solutions in enterprise environments. Experience with Kafka is considered a strong asset. The successful candidate will also be expected to learn and adopt Q as part of the role, with training provided.

Your future duties and responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize distributed data processing applications using Spark 3 and Scala.
• Develop data engineering solutions using Python for automation, transformation, and orchestration.
• Support ingestion, processing, and integration of structured and unstructured data from multiple sources.
• Collaborate with architects and stakeholders to design efficient and reliable data solutions.
• Ensure data quality, integrity, governance, and operational reliability across platforms.
• Monitor, troubleshoot, and optimize performance of data processing workloads.
• Participate in code reviews and promote engineering best practices.
• Contribute to CI/CD, automation, and deployment processes.
• Learn and apply Q technology within the data platform ecosystem through provided training.

Required qualifications to be successful in this role:

• 5+ years of experience in Data Engineering or related disciplines.
• Strong hands-on experience with Spark 3.
• Strong programming experience with Scala.
• Strong development experience with Python.
• Experience designing and maintaining large-scale data pipelines.
• Solid understanding of distributed computing and big data architectures.
• Experience working with data modeling, data transformation, and data integration frameworks.
• Strong problem-solving and troubleshooting skills.
• Experience working in Agile development environments.
• Excellent communication and collaboration skills.
Preferred Qualifications
• Experience with Kafka and event-driven architectures.
• Exposure to real-time data streaming solutions.
• Experience with cloud-based data platforms.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience working with large enterprise data ecosystems.
• Previous experience in financial services or highly regulated industries.
• Exposure to Q or willingness to learn new technologies.
Technical Skills
Required
• Spark 3
• Scala
• Python
• SQL
• Data Engineering
• ETL / ELT
• Distributed Computing
• Data Pipeline Development
Nice to Have
• Kafka
• Streaming Data Platforms
• Cloud Technologies
• CI/CD
• DevOps
• Q

**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:

·  Financial Services
·  Python
·  Scala
·  Spark SQL
·  Apache Kafka

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.