Data engineering advisor developing scalable data platforms and pipelines for Desjardins. Designing, integrating, and improving data systems aligned with business needs.
About the role
- Senior Data Engineer developing a trustworthy analytics data layer for commonsku's platform. Leading projects and mentoring team members in a remote-first work environment.
Responsibilities
- Help guide projects within the team's area of ownership from ideation to delivery.
- Turn normalized operational data into clean dimensional models (Kimball/star schema) that map to how commonsku works across orders, distributors, suppliers, products, and revenue.
- Improve data trust and performance by optimizing queries, strengthening test coverage, and resolving pipeline reliability issues.
- Define and protect canonical metric definitions in our dbt marts so every dashboard draws from a single source of truth.
- Build accessible infrastructure in Snowflake and Metabase so analysts and business users can answer questions confidently, while diving into deep, hands-on analysis yourself when required.
- Provide support, guidance, and constructive code reviews to our Data Engineer and Data Analyst.
- Work closely with the Manager, Platform and Data, as well as Product Managers, to translate business goals into technical roadmap.
- Integrate AI development tools like Cursor, CodeRabbit, and Snowflake Intelligence/Cortex to work efficiently, while proactively validating and refining their outputs.
Requirements
- 5+ years of experience in analytics engineering, data engineering, or a closely related role, ideally within a SaaS or product-driven environment.
- Strong production experience with SQL, dbt, and a cloud data warehouse (Snowflake or comparable), alongside proficiency in Python for analytics tooling and automation.
- Deep understanding of dimensional modeling, relational databases, managed ingestion (Fivetran), and designing BI environments (Metabase) for self-serve use.
- A proven track record of mentoring and developing engineers or analysts, with a focus on building a healthy, collaborative, and inclusive team culture.
- A balance of technical excellence with pragmatic business tradeoffs, a strong sense of customer empathy, and a dedication to continuous growth and feedback.
- Experience using AI-assisted development tools effectively and pushing the boundaries of how AI improves daily workflows.
- Experience using Snowflake AI tooling (or similar) to accelerate solutions for business needs.
Benefits
- Remote-first culture (with plenty of excellent in-person experiences sprinkled in)
- Company-wide closure between December 25th and January 1st
- Health and dental benefits, including a $1,000 healthcare spending account
- RRSP/TFSA contributions up to $3,000 a year (no employee contribution required!)
- Twice-yearly company wide summits (we call it HQ and you’ll love it)
- A delightful team of smart people who are good at what they do
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