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Salary: CAD 144,000 - 176,000 / annual
Relay is a digital banking platform designed for self-made business owners, providing tools and visibility to manage cash flow and financial decision-making. The company is seeking a Senior Data Engineer to scale its data ecosystem during a period of significant growth.
In this role, you will own critical aspects of Relay's data and analytics infrastructure. Your responsibilities include building and maintaining robust dbt models in Snowflake for reliable, privacy-preserving analysis; designing and evolving data platform systems and processes to support company growth; creating infrastructure and tooling to track core KPIs and ensure timely, accurate data access across teams; partnering with stakeholders to build analytics systems; and collaborating with Trust, Security, and Governance teams to maintain best-in-class data security and compliance.
You bring 3+ years of Data Engineering experience with advanced SQL skills (window functions, query optimization, schema design), fluency in Python for production-grade code, and hands-on experience with the core stack: dbt, Dagster, Snowflake, and cloud infrastructure (AWS, GCP, or Azure). You have experience with BI/visualization tools (Looker, Metabase, Mode) and a proven track record of extracting value from complex datasets with genuine curiosity about data insights.
Bonus qualifications include applied statistics and quantitative modeling skills, domain knowledge in Banking or SaaS analytics (LTV, churn, retention), experience with streaming/microbatch analytics (Spark Streaming, Flink, Beam) and event stores (Kinesis, PubSub, Kafka, Pulsar), and experience scaling companies from early stages.
The interview process includes a 30-minute initial call with the Talent team, a 45-minute technical deep dive with the Engineering Manager of Data, a 60-minute case study presentation to technical stakeholders, and a 45-minute in-person interview with Leadership.
