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CI Financial
Senior Data EngineerCI Financial • Toronto, Ontario, CA
Senior Data Engineer

Senior Data Engineer

CI Financial • Toronto, Ontario, CA
30+ days ago
Salary
CA$69,500.00 yearly
Job type
  • Full-time
Job description

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 a 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

  • 7+ 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 end-to-end data pipeline architecture, modern data stack architecture, and cloud-based platforms, including AWS or Azure or GCP, Snowflake or Databricks, and other cloud-native solutions.
  • In-depth knowledge and experience with the following tools and concept:Data extraction – SQL, Python, API invocation, CDCDatabase systems – PostgreSQL, Sybase, MySQL, DynamoDBData storage repositories – SFTP, AWS S3Scheduling 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.

This opportunity is for an existing vacancy with the company. The anticipated base salary range for this position is $69,500 - $119,500. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a bonus program. In addition, The Company offers a variety of benefits to eligible employees, including health insurance coverage, wellness programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.

This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs.

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.

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Senior Data Engineer • Toronto, Ontario, CA

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