Machine Learning Engineer jobs in Canada

Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi-brand ecosystems. Leveraging expertise that spans across the customer experience lifecycle from strategy, design to engineering and beyond, we enable our clients to modernize their organizations and maximize value for their business and customers.

Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.

Apply Digital was founded in 2016 in Vancouver, Canada. In the past nine years, we have grown to ten cities across North America, South America, the UK, Europe, and India.

At Apply Digital, we believe in the “One Team” approach, where we operate within a pod structure. Each pod brings together senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. This structure is underpinned by well-oiled scrum and sprint cadences, keeping teams in step to release often and retrospectives to ensure we progress toward the desired outcomes.

Wherever we work in the world, we envision Apply Digital as a safe, empowered, respectful and fun community for people, every single day. Together, we work to embody our SHAPE (smart, humble, active, positive, and excellent) values and make Apply Digital a space for our team to connect, grow, and support each other to make a difference.

Visit our Careers page to learn how we can unlock your potential.

LOCATION: Apply Digital is hybrid/remote friendly. The preferred candidate should be based in either the Greater Toronto Area or the Greater Vancouver Area of Canada, working in hours that align to ET (Eastern Timezone) or PT (Pacific Timezone).

THE ROLE:

Are you passionate about building scalable data pipelines and optimizing data architectures? Do you thrive in a fast-paced environment where data-driven decision-making and real-time analytics are essential? Are you excited to collaborate with cross-functional teams to design and implement modern cloud-based data solutions? If so, you may be ready to take on the Senior Data Engineer role within our team.

As a Senior Data Engineer, you will play a key role in designing, building, and maintaining cloud-native data pipelines and architectures to support our Composable digital platforms. You will collaborate with engineers, product teams, and analytics stakeholders to develop scalable, secure, and high-performance data solutions that power real-time analytics, reporting, and machine learning workloads.

This role requires deep expertise in data engineering, cloud technologies including modern data warehousing platforms like BigQuery and Snowflake and strong proficiency with SQL and Python. Experience with processing frameworks (e.g. Databricks) and data pipeline orchestration tools (Dagster and DBT) considered a plus.

WHAT YOU’LL DO:

• Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
• Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
• Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
• Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
• Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
• Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
• Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
• Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
• Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.

WHAT WE’RE LOOKING FOR:

• Certified Snowpro
• Experience collaborating with distributed teams across North America and Latin America.
• 5+ years of experience in data engineering, building modern cloud-based data platforms.
• Strong hands-on experience with Snowflake, including performance tuning, security, and data modeling.
• Advanced SQL skills for analytics engineering and data transformation.
• Proficiency in Python for data processing, automation, and orchestration.
• Experience with dbt or similar analytics engineering frameworks.
• Familiarity with orchestration tools such as Dagster or Apache Airflow.
• Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on top of data platforms.
• Solid understanding of data privacy, governance, and compliance best practices.
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset.
• Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
• Excellent communication and collaboration skills.

NICE TO HAVES:

• Experience with Snowflake Cortex, Snowpark, or ML workflows integrated with Snowflake.
• Familiarity with GenAI or LLM-enabled analytics use cases (e.g., semantic layers, AI-assisted insights, decisioning).
• Experience with Databricks or hybrid Snowflake + Databricks architectures.
• Exposure to real-time or near-real-time data pipelines.
• Experience with BI tools (e.g., Looker, Tableau, Power BI).
• Infrastructure as Code experience (e.g., Terraform) in data environments.
• Familiarity with CDPs, marketing platforms, and digital experience ecosystems (e.g., Segment, Contentful, personalization tools).

LIFE AT APPLY DIGITAL

At Apply Digital, people are at the core of everything we do. We value your time, safety, and health, and strive to build a work community that can help you thrive and grow. Here are a few benefits we offer to support you:

Great projects: Broaden your skills on a range of engaging projects with international brands that have a global impact.

An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.

Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.

Generous vacation policy: Work-life balance is key to our team’s success, so we offer flexible personal time off (PTO); allowing ample time away from work to promote overall well-being.

Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.

Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.

Apply Digital is committed to building a culture where differences are celebrated and everyone feels welcome. That’s why we value equal opportunity and nurture an inclusive workplace where our individual differences are recognized and valued.

For more information, visit the Diversity, Equity, and Inclusion (DEI) section of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by emailing careers@applydigital.com.