Data Engineer III, Tim Hortons, Canada

Tim Hortons; Toronto; On-site; CAD 110,000 - 130,000; Full time

Benefits offered by this job

Comprehensive global paid parental leave program

Free telemedicine and mental wellness support

Annual discretionary bonus plan

Additional compensation in equity grants

Job summary

A leading quick-service restaurant company is looking for a skilled Big Data Engineer III to build and maintain scalable data pipelines. This role requires expertise in Python, Apache Spark, AWS, and Snowflake, and is based in Toronto, ON. You will collaborate with data scientists and analysts to transform data into actionable insights. The base salary ranges from $110,000 to $130,000 CAD, with eligibility for bonuses and unique benefits focusing on wellness and support for employees.

Qualifications

• 4+ years experience in programming languages like Python, SQL, Scala.
• 4+ years experience designing complex data pipelines.
• Experience with Snowflake and data modeling.

Responsibilities

• Design and maintain scalable data pipelines using Python and Apache Spark.
• Build and optimize ETL/ELT workflows for structured and unstructured data.
• Collaborate with data analysts and business stakeholders to understand data requirements.

Skills

Python

Apache Spark

AWS

Snowflake

SQL

Terraform

Databricks

Education

Undergraduate degree in Computer Science, Engineering, Statistics, Mathematics, or related field

Tools

AWS services (S3, EC2, DynamoDB, Glue, Lambda)

Hadoop

Git

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 Big Data Engineer III with hands‑on experience in building and maintaining scalable data pipelines and data platforms. The ideal candidate has strong expertise in Python, Apache Spark, AWS, and Snowflake, and is passionate about working with large-scale data systems to enable analytics and business insights. The Data Engineer will report directly to the Data Engineering Lead and will be located primarily in the Toronto King St office.

RBI follows a 5‑day in‑office work schedule to support collaboration. Candidates should be comfortable working onsite 5 days per week at 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 (S3, EC2, DynamoDB, 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 the data industry to standardize and automate data pipelines.
• Implement security and governance guidelines and ensure compliance with 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 a 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 the ability to work in a fast‑paced Agile environment and are 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 undergraduate degree or equivalent in Computer Science, Engineering, Statistics, Mathematics, or related technical field.
• 4+ years experience in programming languages like Python, SQL, Scala.
• 4+ years experience designing complex real‑time / batch data pipelines.
• 4+ years experience in Big Data space – Apache Spark, HDFS, Hadoop, Hive.
• 3+ years experience designing CI/CD pipelines through Terraform / Git.
• 3+ years experience building scalable cloud‑based data pipelines using Lambda, Glue, DynamoDB, IAM.
• Experience with Snowflake (data warehousing, data modeling, performance basics).
• Experience with Databricks an asset.
• Experience with Loyalty Programs an asset.

Base salary range of $110,000 – $130,000 CAD. 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 posting is for an existing vacancy.

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, 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.