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As a Senior Technical Analyst, Data Engineering and Business Intelligence, at Fidelity Investments Canada, you will focus on building, automating and scaling internal data pipelines and…

Fidelity Canada

Senior Technical Analyst, Data Engineering and Business Intelligence

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 24, 2026
Experience: 5 years of experience in Data Engineering, BI Analytics or a closely related role.
Posting language: English
Posted: Oct 17, 2026

Original job description

Job Description

You will be working on a flexible hybrid schedule as part of Fidelity’s dynamic working arrangement.

The work location for this role is 483 Bay Street in Toronto until approximately late 2026, when the work location will change to the new Mississauga office at 3 Robert Speck Parkway.

At Fidelity, we’ve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.

Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally.

How You’ll Make An Impact

As a Senior Technical Analyst, Data Engineering and Business Intelligence, at Fidelity Investments Canada, you will focus on building, automating and scaling internal data pipelines and analytics tools using Python and Snowflake, while also supporting the Business intelligence enablement through modern BI tools. The role supports analytics and automation for the Product organization, including product research, development and ETF capital markets functions.

You will work closely with Product, BI and IT teams to modernize spreadsheet-based processes, improve data reliability and enable self-service analytics through well-designed Data Models and Dashboards.

Data Engineering & Automation

Design, develop and maintain Python-based data pipelines, automation scripts and internal analytics tools.
Build and optimize data transformations, models and workflows in Snowflake and Informatica Cloud.
Convert existing spreadsheet-based models into scalable, centralized Python and Snowflake-based solutions.
Automate internal reporting, data validation, back-testing and analytical workflows to reduce manual effort and error risk.
Partner with the Product team to support analytics related to competitor analysis, performance reporting, risk ratings, fund comparisons and research initiatives.
Apply sound engineering practices including version control (Git), modular code design, logging and unit testing.
Support an agile development approach, responding to evolving internal business needs.

BI Enablement & Visualization

Develop and maintain dashboards and reports primarily using Tableau.
Support BI solutions using Power BI or SAP Business Objects where applicable.
Translate analytical outputs and engineered datasets into intuitive, consumable visualizations.
Publish, manage and support BI assets and Data sources for internal users.
Ensure BI solutions align with underlying data models and engineering best practices.

Platform, Security & Collaboration

Collaborate with BI and IT teams to support BI platform administration as needed (Tableau Cloud, Power BI Service, SAP Business Objects).
Maintain internal data security, access controls and governance standards.
Work cross-functionally with Product, BI and Engineering teams to deliver reliable internal analytics solutions.

What We’re Looking For

University degree in Computer Science, Engineering, or equivalent practical experience.
5 years of experience in Data Engineering, BI Analytics or a closely related role.
Strong proficiency in Python for data engineering, automation and analytics.
Strong hands-on experience with Snowflake, including data modeling, SQL development and performance optimization.
Advanced SQL skills and experience working with relational and cloud-based data platforms.
Experience building internal data pipelines, automation, or analytics tools.
Experience with Tableau (preferred).

The Expertise You Bring

Understanding of how BI tools consume and interact with engineered data models.
Experience with Power BI and/or SAP Business Objects is acceptable.
Ability to translate business problems into scalable Data and automation solutions.
Experience modernizing spreadsheet-driven processes into robust Data workflows.
Strong understanding of Data modeling and performance optimization principles.
Experience using Git or similar version control systems.
Understanding of internal data governance, security and access management.
Strong communication skills and ability to work with technical and non-technical stakeholders.

Nice to Have

Experience supporting analytics for financial products or capital markets.
Exposure to BI platform administration (Tableau Cloud, Power BI Service, SAP BO).
Experience with Informatica Cloud (e.g., data integration, data quality or pipeline orchestration).
Experience with orchestration, scheduling, or workflow automation tools.
Familiarity with cloud platforms such as AWS (e.g., S3, IAM, Lambda, or related services).

Current work authorization for Canada is required for all openings.

Total Rewards That Reflect Your Impact

We believe exceptional work deserves exceptional recognition. That’s why we offer a competitive compensation package designed to support your success today - and your financial well-being tomorrow.

For this role, your total rewards include

Base Salary and Discretionary Performance Bonus A competitive annual range of $120,000 to $150,000, based on your experience and qualifications.
RRSP Contribution After 6 months of employment, we invest in your future with an RRSP contribution - no employee matching required.

We’re proud to offer a compensation package that aligns with provincial pay transparency requirements.

This posting represents an existing vacancy within our organization - an opportunity to step into a role where your talents will make a meaningful difference.

We use AI-enabled LinkedIn Hiring Assistant to support parts of our sourcing process. Every hiring decision is reviewed and finalized by our recruiters. If you choose to ask questions to the LinkedIn HR Hiring Assistant, please be mindful that the responses are not official and must be confirmed for accuracy and completeness by Fidelity. If you are selected for an interview, the recruiter who contacts you can best answer your questions.

Some of the ways we’ll help you feel valued and supported as part of our team

Flexible working arrangements - 100% remote, hybrid, and in office options
Competitive total compensation, including company contributions to your group RRSP without a matching requirement from you
Comprehensive health benefits that start on your first day, with 100% employer-paid premiums, that include up to $5000 annually for mental health services and therapy
Parental leave top-up to 100% of your salary for a period of 25 weeks
Up to $650 for home office equipment
Generous time off policy, including 2 paid days annually to volunteer at a charity of your choice
Diversity and inclusion programs, including an active network of Employee Resource Groups
Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation

We care a lot about fostering a compassionate, people-centric culture, and are proud to have been named one of Canada’s Top 100 employers for the last five years.

Fidelity Canada is an equal opportunity employer

Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status or any other legally-protected ground.

Accommodation during the application process

Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation, please email us at FidelityCanadaStaffing@fidelity.ca.

No telephone inquiries or agencies please. We thank all applicants for their interest, please be advised that only those selected for an interview will be contacted.

Why Work at Fidelity?

We are proud to be recipients of the following

Awards

Canada's Top 100 Employers
Greater Toronto's Top Employers
Canada's Top Family-Friendly Employers
Canada's Top Employers for Young People
Great Place To Work® Certified
Best Workplaces for Inclusion
Best Workplaces for Mental Wellness
Best Workplaces for Today's Youth
Best Workplaces for Women
Best Workplaces in Financial Services & Insurance
Best Workplaces in Ontario
Best Workplaces with Most Trusted Executive Teams
LinkedIn Top Companies in Canada
Human Resource Director (HRD) - Best Place To Work
HRD - 5-Star Benefit Program
HRD - 5-Star Diversity & Inclusion Employer

Designations

Canadian Compassionate Companies – Certified
Benefits Canada's Workplace Benefits Award - Future of Work Strategy
TalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in Recruiting
Canadian HR Reporter's Most Innovative HR Team

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More about this job

Responsibilities

Build, automate, and maintain Python and Snowflake data pipelines, models, and analytics tools, modernizing spreadsheet-based processes and supporting product research and reporting. Develop and support BI dashboards and data sources, while collaborating with Product, BI, and IT teams to ensure reliable, secure, and governed analytics.

Requirements

Requires a university degree in Computer Science, Engineering, or equivalent practical experience, along with at least five years of experience in data engineering, BI analytics, or a related role. Candidates should have strong Python, Snowflake, and SQL skills, experience building data pipelines and automation, and familiarity with data modeling, version control, governance, and stakeholder collaboration.

Skills

Python
Snowflake
SQL
Data Engineering
Data Modeling
Tableau
Power BI
SAP BusinessObjects
Informatica Cloud
Data Pipelines
Data Automation
Git
Data Visualization
Data Governance
Performance Optimization
Agile Development

Benefits

Discretionary Performance Bonus
Employer RRSP Contributions
Health Benefits
Mental Health Services Coverage
Parental Leave Top-Up
Home Office Equipment Allowance
Paid Volunteer Days
Professional Development
Tuition Reimbursement
Flexible Working Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Python
Snowflake
SQL
Tableau
Power BI
SAP BusinessObjects
Informatica Cloud
Git
AWS
S3
IAM
Lambda
Data Engineering
Business Intelligence
Data Pipelines
Data Modeling
Data Transformation
Workflow Automation
Data Visualization
Dashboard Development
Data Governance
Access Management
Performance Optimization
Unit Testing
Version Control
Agile Development
Capital Markets
Product Analytics
Data Quality
Cloud Platforms

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