Senior Data Engineer

Apply Digital Ltd.; Canada; Hybrid; CAD 110,000 - 140,000; Full time

Benefits offered by this job

Flexible work arrangements

Generous vacation policy

Customizable benefits

AI upskilling & mentorship

Job summary

APPLY is hiring a senior Data Engineer to design and optimize cloud-based data pipelines and data warehouses. You’ll collaborate with backend engineers to integrate data flows and enable self-service BI across North America and beyond.

You will implement governance, security, and privacy controls while leveraging Snowflake, SQL, Python, and modern orchestration tools to deliver scalable data solutions.

Qualifications

• Certified SnowPro is required.
• 5+ years in data engineering and cloud data platforms.
• Strong Snowflake skills: performance tuning, security, modeling.
• Advanced SQL for analytics engineering and data transformation.
• Python for data processing, automation, and orchestration.
• Experience with dbt or similar analytics engineering frameworks.
• Familiar with orchestration tools like Dagster or Apache Airflow.
• Experience with clickstream and event data at scale, real-time or near-real-time.
• Experience enabling ML/AI use cases on data platforms.
• GCP certification (Associate or Professional) preferred.
• Solid data governance, privacy, and compliance practices.
• Excellent English communication and collaboration skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures for analytics and operations.
• Develop and optimize ETL/ELT pipelines across diverse data sources.
• Collaborate with backend and platform engineers to integrate pipelines into cloud-native apps.
• Manage and optimize BigQuery-based data warehouses for performance and cost.
• Implement data governance, security, and privacy best practices.
• Collaborate with analytics teams to define data models for self-service BI.
• Develop and maintain data documentation, dictionaries, lineage, and metadata.
• Monitor, troubleshoot, and optimize pipelines for reliability and availability.
• Stay current with new data engineering technologies and best practices.

Skills

SnowPro

Snowflake

SQL

Python

dbt

Dagster

Apache Airflow

Cloud data pipelines

Data modeling

ML/AI use cases

GCP Certified

Tools

Snowflake Cortex

Snowpark

Databricks

BI tools (Looker, Tableau, Power BI)

Job description

ABOUT APPLY

APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com.

LOCATION

APPLY 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

RESPONSIBILITIES

• 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.

REQUIREMENTS

• 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 working with clickstream and event data — ingestion, modeling, and real-time or near-real-time processing at scale.
• Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on top of data platforms.
• GCP certified (Associate Cloud Engineer or Professional Data Engineer).
• 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 English 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).

$110,000 - $140,000 a year

The salary range for this role is $110,000 - $140,000 CAD per year. We conduct regular benchmarking across various roles, similar industries, and levels to ensure fair compensation packages for all. We are committed to acknowledging each individual's unique strengths and contributions while rewarding the value that they deliver to the team.

LIFE AT APPLY

People are at the core of everything we do at APPLY. We provide you with modern tools, systems and approaches, value your time, safety, and health, and strive to build a work community where you can thrive and grow. Here are a few benefits we offer to support you:

Agentic Delivery

Our people work in a modern way to deliver client outcomes. Broaden your skills on a range of engagements 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.

AI & Strategic Upskilling

Accelerate your professional growth with generous training budgets and mentorship, with a specific focus on Agentic AI expertise and the critical human skills required for the future of work.

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 is a safe, respectful, and inclusive community where differences are celebrated. We are committed to equal opportunity and fostering a workplace where everyone belongs. Learn more in our Diversity, Equity, and Inclusion (DEI) section. For recruitment accommodations, please email [e-mail].