We’re looking for a Senior Data Engineer to help us scale our data ecosystem as Relay enters an exciting new chapter of growth This is a unique opportunity to be responsible for key aspects of the evolution of our data and analytics stack as the company grows You’ll have a dedicated interest in ensuring our teams have access to the right data at the right time in order for us to make the best decisions for our customers Construct data models via DBT in our Snowflake data warehouse that allow for robust, secure, privacy-preserving analysis on Relay’s rich trove of data Ensure the technology and processes that underpin our data platform scale as Relay continues to grow Create data tools, workflows and APIs for other technical teams to consume and interact with our data platform Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs Build the systems that help us track core KPIs and ensure all our teams have the timely and accurate data they need to function effectively Work closely with Trust, Security and Governance teams to keep our customer data safe through security and compliance best practices Market-competitive salary and meaningful equity: Relay employees are Relay owners, complete with equity and a competitive salary.

Social connection: We believe in celebrating our wins with two annual company-wide get-togethers, quarterly team events, happy hours, and special events and networking opportunities with industry leaders.

Personal and professional growth: Parental leave with top-up: We offer 12 weeks off with a 100% salary top-up for all full-time employees, regardless of location, and accessible for all parents: birthing, non-birthing, and adoptive Enjoy full health benefits from day one: no probation period required.

We offer flexible Health or Wellness Spending Accounts and medical, dental, and vision coverage for you and your dependents.



We value meaningful collaboration and connection at our Toronto office three days per week, with lunch, snacks, and beverages on us.

Flexible vacation and time off: Every team member starts with 15 vacation days and 5 flex days to use as needed, plus an extra week of office closure during the end-of-year holidays. Dog-friendly space: Can dogs really make you happy and healthy? We don’t know for sure, but since we don’t want to chance it, our office is 100% floof-friendly.

Experience with cloud computing (AWS, GCP or Azure), infrastructure-as-code, and familiarity with cloud data warehouse platforms (Bigquery, Snowflake, Redshift, etc.) ~3+ years of Data Engineering experience ~ SQL knowledge that goes well beyond the basics of SELECT, WHERE and GROUP BY ~ Experience with business intelligence / data visualization tools (Looker, Metabase, Periscope, Mode, etc.) ~ Experience with one-or-more object-oriented & functional scripting languages (including Python, Java or Javascript) ~ We are a startup after all! ~ A successful history of manipulating, processing and extracting value from large datasets and a curiosity for exploratory data analysis ~ At Relay, everything we do is in service of our mission to help small businesses thrive. You’re comfortable building from scratch, iterating as you go, and collaborating to shape the best path forward ~ and design methodologies of persistent event stores (AWS Kinesis, GCP PubSub, Apache Kafka, Apache Pulsar, etc.) ~ You have an understanding of applied statistics, are able to create quantitative models, and can clearly communicate findings to a technical and non-technical audience ~ If you’re someone who takes initiative, is comfortable taking risks, and seeks input when needed, you’ll find the freedom here empowering ~ Research shows that women-identifying and other marginalized individuals tend to only apply when they meet 100% of the qualifications. You’ve joined a company at its early stages and have seen it through scale ~

📌 Senior Data Engineer (Python) - Remote (Toronto)
🏢 Relay
📍 Toronto