Senior Data Engineer

Knix; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

An innovative apparel brand in Toronto is seeking a Senior Data Engineer to design and maintain data pipelines and optimize their analytics ecosystem. The ideal candidate has over 7 years of experience in data engineering, with proficiency in Snowflake, DBT, and cloud services like AWS. This role requires expertise in Python and SQL, as well as strong problem-solving skills. Join a purpose-driven team where diverse perspectives are celebrated and inclusivity is at the core.

Benefits

Inclusive work environment

Accommodations for disabilities

Supportive and innovative culture

Qualifications

• 7+ years of experience in software and/or data engineering, with at least 4 years focused on data engineering.
• Deep hands-on experience with Snowflake, DBT, FiveTran, and Looker.
• Proficiency in Python for data workflows.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines.
• Monitor pipeline performance and implement logging processes.
• Design and maintain scalable data models using dimensional and normalized approaches.

Skills

Python

SQL

Data architecture

Problem-solving

Data governance

Tools

Snowflake

DBT

FiveTran

Looker

AWS

Job description

Knix is an award-winning intimate apparel and activewear brand that is re-inventing intimates for real life. Through our innovative products and our engaged community, we are empowering people everywhere to be unapologetically free. Launched in 2013, we are one of the fastest-growing intimate apparel brands in North America and are globally recognized as an innovator within the apparel space. We reach over 3 million customers through our online stores, Knix retail locations across North America and channels such as wholesale and Amazon. We are revolutionizing the apparel industry with our best-in-class customer experience, innovative products and brands Knix and Kt by Knix. Come join us if you are looking for a purpose-driven and authentic career!

As a Senior Data Engineer, you will design, build, and maintain the data pipelines, integrations, and models that power Knix’s analytics and reporting ecosystem. You’ll lead the development of scalable ELT/ETL processes, optimize our Snowflake environment, and enable teams across the business with clean, trusted, and analysis-ready datasets. This role blends technical depth with collaboration, problem-solving, and a passion for modern data engineering.

About You

• You thrive in fast-paced environments and enjoy solving complex, cross-functional problems.
• You’re fluent in Python and SQL and love building clean, scalable data pipelines.
• You think about data architecture holistically, with performance, governance, and usability in mind.
• You sweat the details and prioritize reliability, security, and documentation.
• You’re a strong communicator who can translate business needs into scalable data solutions.
• Above all, you’re proactive, positive, and excited by Knix’s mission to redefine intimates.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines using FiveTran, Airbyte, and custom Python workflows.
• Manage data ingestion and transformation across AWS services such as S3, Lambda, Glue, and Athena.
• Monitor pipeline performance and implement logging, alerting, and troubleshooting processes.
• Administer and optimize Knix’s Snowflake environment including access management, cost efficiency, and query performance.
• Design and maintain scalable data models using both dimensional and normalized approaches.
• Build and maintain reusable transformation logic in DBT to deliver high-quality, analysis-ready datasets.
• Partner with engineering, analytics, and business teams to understand data needs and deliver governed, trustworthy datasets.
• Design and optimize Looker explores, views, and dashboards to support self-serve analytics.
• Apply best practices in data quality, documentation, and data governance.
• Champion data engineering best practices including version control, testing, and peer reviews.
• Support performance tuning and optimization across the data stack.
• Stay current on emerging tools, frameworks, and trends in the modern data ecosystem to drive innovation.

Qualifications

• 7+ years of experience in software and/or data engineering, with at least 4 years focused on data engineering or analytics engineering.
• Deep hands-on experience with Snowflake, DBT, FiveTran, and Looker in a production environment.
• Proficiency in Python for data workflows, automation, and orchestration.
• Strong SQL skills and experience designing scalable, performant data models.
• Working knowledge of AWS services including S3, Lambda, Glue, and Athena.
• Familiarity with Airbyte or similar tools for custom ingestion.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Understanding of data governance, access control, and performance tuning.

How we Hire

Our people are what make Knix, Knix! Our people are passionate and have a strong belief in our mission. Our people are naturally curious and ambitious by nature. Employees feel respected and supported at Knix. We take an inclusive and equitable approach offering the same interview experience to every candidate we meet with. Knix is an equal opportunity employer, we celebrate everyone and their intersecting identities. We know and believe that diverse and inclusive teams empower us to make better decisions and inspire innovation so that we can better serve our customers and community. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don’t hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.