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Added 3 months ago
S
Senior DevOps Engineer
SimCorp
Toronto, ON
- Full-time
Create and enhance automation scripts (PowerShell, Python, etc.) to improve efficiency.
Added 3 months ago
FC
Quality Assurance Analyst, Investly
Fidelity Canada
Toronto, ON
- Full-time
Hands-on experience with constructing SQL queries and testing APIs
Added 3 months ago
CG
Manager, Advanced Analytics & BI
Canada Goose
Toronto, ON
- Full-time
Strong experience with SQL, ETL development (SSIS, Azure Data Factory, or similar), and data warehousing methodologies such as Star Schema and Kimball
Added 3 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Knowledge of SQL Server and T-SQL programming.
Added 3 months ago
CR
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, Ontario
- Internship
Leverage your programming, model building, and database administration skills (including using Python, T-SQL, VBA, Excel, C#, and/or other programming languages and tools);
Added 3 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
…brought to consumers including broad selection, low pricing, and great customer service. WW Ops Amazon Business is building the operations and supply chain solutions that will enable AB’s…
Added 2 months ago
Data Analyst
Scotiabank
Toronto, ON
Python, ACL, SAS, VBA, or similar scripting and automation tools
Added 3 months ago
GS
Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
Perform scripting and development using Python and SQL, minimizing unnecessary customization
Added 2 months ago
Senior PostgreSQL Database Engineer (Hybrid)
OpenTable
Toronto, ON
Proficiency in SQL and at least one programming or automation language such as Python, Go, or Bash.
Added 5 months ago
JA
Business Data Analyst (Capital Markets)
Jay Analytix
Toronto, ON
- Contract
Performing data analysis on trading data including trades, executions, and orders and running SQL queries to identify anomalies, establish linkages, and define transformation rules
Added 3 months ago
C
Java Full Stack Developer - React JS - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The position is for a senior full-stack developer with 6-8 years of experience, specializing in building enterprise-scale applications. This role is suited for a strong React-focused full…
Added 3 months ago
MI
Actuarial Associate
Millennium Insurance Corporation
Sherwood Park, Alberta
- Full-time
Advanced proficiency in Excel and at least one analytical or programming language such as SQL, R, Python, SAS, or VBA
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
Expertise in identifying and exploiting common infrastructure and web application vulnerabilities (e.g., XSS, SQL Injection, IDOR).
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We are looking for a strong java developer to join RIM team and help deliver key initiatives. The applicant should be a solid Java programmer, with strong design and implementation…
Added 3 months ago
Z
Senior Data Scientist - Computer Vision
zestyAI
Remote, Canada
- Full-time
- Remote
Proficiency in Python, with experience using deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., OpenCV, Pillow, Matplotlib, Plotly).
Added 3 months ago
F
Senior Director, Strategic Programs
Financeit
Toronto, Ontario
- $150,000 to $175,000 CAD / year
- Full-time
Proven track record of structuring ambiguous business problems, managing complex data architectures, and leveraging tools like SQL, Python, Tableau, Power BI, Looker, etc. to drive…
Added 3 months ago
Intern - Credit Risk
EQ Bank | Canada's Challenger Bank
Toronto, ON
3M to 1 yr of exposure to Microsoft SharePoint and Microsoft PowerShell, Microsoft Power Automate, Python, and/or SQL.
Added 3 months ago
K
Senior Data Solutions Consultant
Klick
Toronto, ON
- Full-time
The Senior Data Solutions Consultant partners with cross-functional teams to design, build, and optimize scalable data solutions that support omnichannel marketing, analytics, and…
Added 2 months ago
Developer, Python
Dollarama
Mont-Royal, QC
The Python backend developer will join the Mobile team, which is responsible for the development and support of iOS mobile applications used for in-store operations. The developer will work…
Added 3 months ago
Sr Economist
Government of Alberta
Edmonton, AB
Experience in economic and econometric analysis using statistical programming software (R, SAS, SQL, Python, Oracle)
Added 4 months ago
P
Manager Software Engineering
PointClickCare
Mississauga, Ontario
- $152,000 to $174,000 CAD / year
- Full-time
Strong background in Java, Python, Spring, SQL, and web technologies
Added 4 months ago
CG
Senior Specialist, Cloud and Infrastructure
Centerra Gold Inc.
Vancouver, British Columbia
- Full-time
Support enterprise data integration and analytics platforms, including Microsoft Fabric, Power BI, Power Apps, Azure Data Factory, Azure SQL and related Azure data services and AI-driven…
Added 4 months ago
ES
Advanced Data Analyst - EA SPORTS™ FC
EA SPORTS
Vancouver, British Columbia
- Full-time
Write and maintain complex SQL and scripting workflows to extract, transform, and validate large-scale telemetry datasets
Added 4 months ago
TH
Data Engineer II, Tim Hortons, Canada
Tim Hortons
Toronto, Ontario
- Full-time
We are looking for a skilled Data Engineer with 2+ years of hands-on experience in building and maintaining scalable data pipelines and data platforms. The ideal candidate should have hands…
Added 4 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 CAD / year
- Full-time
Experience with relational databases (PostgreSQL, MySQL, Oracle) and writing efficient SQL queries, schema design, and performance optimization

Tim Hortons

Data Engineer II, Tim Hortons, Canada

Toronto, ON, Canada

For Candidates Based in Ontario, the Expected Salary Range is: $90,000-$110,000 · Full-time

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Job details

Pay: For Candidates Based in Ontario, the Expected Salary Range is: $90,000-$110,000
Job type: Full-time
Posting language: English
Posted: Jul 7, 2026

Original job description

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world.

Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories.

RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities.

RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.

We are looking for a skilled Data Engineer with 2+ years of hands-on experience in building and maintaining scalable data pipelines and data platforms. The ideal candidate should have hands on experience in Python, Apache Spark, AWS, and Snowflake, and is passionate about working with large-scale data systems to enable analytics and business insights.

RBI follows a 5 day, in-office work schedule to support collaboration. Candidates should be comfortable working onsite 5 days per week out of our office in Toronto, ON.

What You’ll Do

Design, develop, and maintain scalable and reliable data pipelines using Python and Apache Spark
Build and optimize ETL/ELT workflows to process structured and unstructured data
Work with AWS services (such as S3, EC2, Dynamo, Glue, Lambda) to deploy and manage data solutions
Implement and manage data warehousing solutions using Snowflake
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements
Implement best practices across data industry to standardize and automate data pipelines
Implement security and governance guidelines and ensure compliance to regulations

Who You Are

Have strong problem-solving skills with an emphasis on product development.
Take ownership, with the ability to manage in an environment of quick change to help strategic moves in this rapidly evolving QSR environment.
Are outcome focused, critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire business.
Have ability to work in a fast-paced Agile environment and is transparent and professional in their communication If you’re curious, ready to take on new challenges and open to doing things differently to help us evolve rapidly, then this is the place to be.

What You'll Need To Succeed

Minimum under graduation degree or equivalent in Computer Science Engineering, Statistics, Mathematics, or related technical field
2+ year experience in programming languages like Python, SQL, Scala
2+ year experience in designing complex Realtime / batch data pipelines
2+ year experience in Big Data Space – Apache Spark / HDFS / Hadoop / Hive
2+ year experience in designing CI/CD pipelines through Terraform / Git
2+ year experience in building scalable cloud-based data pipelines using Lambda, Glue, Dynamo, IAM

What Helps You Brew Success

Experience with Snowflake (data warehousing / data modeling / performance basics)
Experience with Databricks an asset
Experience with Loyalty Programs an asset

For Candidates Based in Ontario, the Expected Salary Range is: $90,000-$110,000

Base salary for this position may vary based on relevant factors such as experience, education, location, and skills. This position is eligible to participate in the Company’s annual discretionary bonus plan, subject to the terms and conditions of the incentive program, based on individual and company performance metrics. This position may also be eligible for additional compensation in the form of equity grants pursuant to the Company’s long-term incentive plan. (This language is only used for PB3+ roles.)

This posting is for an existing vacancy.

#TimHortons

Benefits at all of our global offices are focused on physical, mental and financial wellness. We offer unique and progressive benefits, including a comprehensive global paid parental leave program that supports employees as they expand their families, free telemedicine and mental wellness support.

Restaurant Brands International and all of its affiliated companies (collectively, RBI) are equal opportunity and affirmative action employers that do not discriminate on the basis of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or veteran status, or any other characteristic protected by local, state, provincial or federal laws, rules, or regulations. RBI's policy applies to all terms and conditions of employment. Accommodation is available for applicants with disabilities upon request.

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More about this job

Responsibilities

Design, develop, and maintain scalable and reliable data pipelines using Python and Apache Spark. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.

Requirements

Candidates should have a minimum undergraduate degree in a related technical field and 2+ years of experience in programming languages like Python and SQL. Experience in designing complex data pipelines and working with Big Data technologies is also required.

Skills

Python
Apache Spark
AWS
Snowflake
SQL
Scala
ETL
ELT
Data Warehousing
Data Modeling
Terraform
Git
Lambda
Glue
Dynamo
HDFS

Benefits

Comprehensive Global Paid Parental Leave Program
Free Telemedicine
Mental Wellness Support

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Data Pipelines
Data Platforms
Python
Apache Spark
AWS
Snowflake
ETL
ELT
Data Warehousing
Data Modeling
Terraform
Git
Lambda
Glue
Dynamo
HDFS
Agile
Problem Solving
Analytics
Business Insights

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