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 effective 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 Dev

Ops 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 Dev

Ops 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 $95,$,.

This role is an existing vacancy. #LI-BN 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

📌 Senior Data Engineering Consultant (Toronto)
🏢 CGI
📍 Toronto