CI Financial Logo

CI Financial

Senior Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Toronto, ON
Senior level
Toronto, ON
Senior level
The Senior Data Engineer will design and maintain data pipelines, ensuring data transformation and accessibility for analytics and reporting. Responsibilities include collaborating with teams to gather requirements, developing scalable architectures, managing ETL processes, and mentoring junior team members.
The summary above was generated by AI

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so. 

We are currently seeking for 2 x Senior Data Engineer to join the Data and Analytics team in the Wealth Technology group at CI Wealth. The Data and Analytics team supports the organization through data management, data governance, reporting, and business intelligence and insights. The successful candidate will work on data pipeline and data transformation tasks that underly these strategic pillars.

Responsibilities

  • Collaborate with business teams and Data Analysts to gather and understand requirements, ensuring alignment with business objectives and data needs.
  • Translate business needs into detailed technical requirements in collaboration with subject matter experts (SMEs) to ensure accuracy and feasibility.
  • Recommend and design scalable, efficient, and effective data architectures and workflows to support current and future business requirements.
  • Design, develop, and maintain data assets to enable seamless extraction, transformation, and loading (ETL/ELT) processes from diverse data sources, making data accessible to client-facing applications, data warehouses, and internal tools.
  • Build, operate, and optimize highly scalable and reliable data pipelines and infrastructure to support analytics, reporting and operational use cases.
  • Drive end-to-end ownership of projects, including planning, development, testing, and deployment, ensuring timely and successful delivery.
  • Collaborate with Quality Assurance (QA) and Support teams to identify, troubleshoot, and resolve issues in production environments, ensuring the stability and reliability of data systems.
  • Work with Release Management to plan, coordinate, and implement data pipeline updates, adhering to CI’s deployment standards and minimizing disruption to production systems.
  • Implement and enforce best practices for observability, data lineage, and governance, ensuring transparency, reliability, and compliance across all data systems.
  • Support and mentor junior team members, fostering a collaborative and growth-oriented environment while providing technical guidance and expertise.
  • Lead or participate in data migration projects, transitioning legacy systems to modern platforms and architectures while minimizing disruption and data loss.

Qualification Requirements

Experience

  • 6+ years of professional experience in data engineering, with a strong focus on designing, developing, and optimizing scalable data pipelines, ETL/ELT workflows, and data integration solutions using modern tools and technologies.

Education/Training

  • Post-secondary degree in a quantitative discipline.

Knowledge, Skills, and Abilities

  • Comprehensive understanding of data pipeline architecture, modern data stack architecture, and cloud-based platforms, including AWS, Snowflake, and other cloud-native solutions.
  • In-depth knowledge and experience with the following tools and concept:
    • Data extraction – SQL, Python, API invocation, CDC
    • Database systems – PostgreSQL, Sybase, MySQL, DynamoDB
    • Data storage repositories – SFTP, AWS S3
    • Scheduling of data jobs – CRON, Apache Airflow, AWS Step Functions
    • ETL/ ELT tools and workflow – Snowflake, PySpark, AWS Glue, EMR, AWS Lambda, SCD
    • CI/CD pipelines – Bitbucket, Git, Jenkins, CloudFormation, Terraform, Flyway
  • Strong knowledge of observability and data lineage implementation to ensure pipeline transparency and monitoring.
  • A strong analytical mindset and sophisticated written and verbal communication skills.
  • Experience in leading or contributing to migration projects to modern data platforms like Snowflake and/or AWS.
  • Experience in the Financial Services Industry is an asset.
  • Ability to work within an organization based upon continuous improvement.

CI Financial is an independent company offering global wealth management and asset management advisory services through diverse financial services firms. Since 1965, we have consistently anticipated and responded to the changing needs of investors. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice.   Our commitment to the highest levels of performance means that whatever their position, CI employees must be comfortable in a fast-paced environment that will stretch them to tap into their highest potential.  Employees with a healthy dose of ambition, a desire to commit to a curious mindset for continuous learning, and a willingness to go the extra mile thrive at CI. 

A Supportive Environment for Success

We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.

WHAT WE OFFER 

  • Modern HQ location within walking distance from Union Station
  • Training Reimbursement
  • Paid Professional Designations
  • Employee Savings Plan (ESP)
  • Corporate Discount Program
  • Enhanced group benefits
  • Parental Leave Top–up program
  • Paid time off for Volunteering 

We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking “Apply”. Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates (“CI”) are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at [email protected], or call 416-364-1145 ext. 4747. 

Top Skills

Python
SQL

CI Financial Toronto, Ontario, CAN Office

15 York St, 2nd Floor, , Toronto, Ontario , Canada, M5J 0A3

Similar Jobs

7 Days Ago
Remote
Hybrid
Toronto, ON, CAN
Junior
Junior
Marketing Tech • Real Estate • Software • PropTech • SEO
The Data Analytics Engineer will design and maintain scalable data pipelines, implement data orchestration tools, work with AI processes, support predictive model development, manage ETL workflows, and collaborate with cross-functional teams for data governance, ensuring analytics solutions are production-ready.
Top Skills: PythonRSQL
2 Days Ago
Toronto, ON, CAN
Senior level
Senior level
Fintech • Financial Services
As a Senior Data Engineer, you will be responsible for designing, implementing, and supporting data pipeline applications for a regulatory project. You will leverage your expertise in Java, Big Data, and micro-service architecture while ensuring strong collaboration with internal teams and managing stakeholder expectations.
Top Skills: JavaPythonScala
2 Days Ago
2 Locations
Senior level
Senior level
Insurance • Financial Services
The Senior Data Engineer Developer will design, develop, and deliver secure data pipelines and participate in the implementation of best practices in data engineering. Responsibilities also include leading a team to enhance data practices and support data scientists with quality data for machine learning.
Top Skills: PysparkPython

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account