Senior Data Engineer at relayfi. About the role Relay is a digital banking platform designed to provide business owners with financial clarity and control. We are looking for a Senior Data Engineer to scale our data ecosystem and ensure our teams have access to high-quality, timely information to support company growth.
Location: Toronto, ON (Hybrid) Engagement: Full time Compensation: $144,000 - $176,000 CAD (Target starting salary: $160,000 CAD) Team: Engineering
What you’ll do Develop and maintain dbt models within Snowflake to support privacy-focused data analysis.
Manage and improve the systems and processes that form our data platform.
Build infrastructure to track key performance indicators and ensure data availability across the organization.
Collaborate with stakeholders to design systems that provide accurate data for business operations.
Partner with Trust, Security, and Governance teams to maintain high standards for customer data safety.
Requirements Minimum 3 years of professional experience in Data Engineering.
Advanced SQL proficiency, including complex window functions, schema design, and query optimization.
Fluency in Python with a focus on writing clean, production-ready code.
Hands-on experience with dbt, Dagster, Snowflake, and cloud infrastructure (AWS,



GCP, or Azure).
Experience working with BI and data visualization tools like Looker, Metabase, or Mode.
Ability to work independently while collaborating effectively with cross-functional teams.
Nice to have Proficiency in applied statistics and the creation of quantitative models.
Domain expertise in SaaS or banking analytics, specifically regarding LTV, churn, and retention.
Experience with microbatch or streaming analytics (Spark Streaming, Flink, Beam) and event stores (Kafka, Kinesis, PubSub, Pulsar).
Background in scaling data systems at early-stage companies.
Skills & tools SQL, Python, dbt, Dagster, Snowflake, AWS/GCP/Azure, BI tools (Looker/Metabase/Mode).
Practical notes The interview process includes a 30-minute talent screen, a 45-minute technical deep dive, a 60-minute case study presentation, and a 45-minute in-person leadership interview.
Offers are based on impact and readiness, with no fixed annual review cycle for compensation adjustments.
Employment is conditional upon a successful background check and verification via Certn.
Accommodations are available upon request during the hiring process.

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📌 Senior Data Engineer (Ontario)
🏢 Relayfi
📍 Ontario