Responsibilities

- 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 chance 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

Benefits

- Competitive salary and meaningful equity: Relay employees are Relay owners, complete with equity and a competitive salary. Since 2023, 66%+ of employees have received salary increases, with multiple new team members joining just last year.
- 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: Through ongoing feedback, mentorship, and coaching, work with peers and leaders who are invested in your growth and success. Even with more than half of our team joining in the last 12 months, almost 20% have received promotions in the last year alone.
- 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
- Comprehensive health benefits: Enjoy full health perks 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.




- Hybrid work environment: We value meaningful collaboration and connection at our Toronto office three days per week, with lunch, snacks, and beverages on us.
- Top-tier equipment: As a Mac-first company, our Toronto offices have everything you need to produce your best work comfortably, from multiple screens to ergonomic seating.
- 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.
- Award-winning workplace: As a winner of CB Insights’ Fintech 100, Deloitte Canada’s Technology Fast 50, Forbes Fintech 50, and the CIX Top 10 Growth Award, Relay is a recognized innovative and high-growth company.

Qualifications & Expectations

- 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
- The ability to execute independently with the input of cross-functional stakeholders
- 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)
- Adaptability to handle change and uncertainty at times; 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
- You’re here for more than a job: At Relay, everything we do is in service of our mission to help small businesses thrive. To drive impact and have purpose here, that mission must matter to you too




- You’re energized by complexity and ambiguity: You enjoy tackling problems that don’t come with a playbook. You’re comfortable building from scratch, iterating as you go, and collaborating to shape the best path forward
- You seek out feedback: We value directness, clarity, and respect. We believe honesty fuels great work and career growth. You see feedback as a tool for learning and improvement, and you know that open, honest dialogue is key to achieving the best results — together
- You treat comfort as a red flag: You seek growth. When things feel too comfortable, you lean into change. You’re excited about stepping into the unknown and navigating new terrain to create something better alongside your team
- You have experience with streaming or microbatch analytics (Spark Streaming, Flink, Beam, etc.) and design methodologies of persistent event stores (AWS Kinesis, GCP PubSub, Apache Kafka, Apache Pulsar, etc.)
- You have domain knowledge of Banking or SaaS analytics, and are familiar with concepts like LTV, churn, retention, 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
- You own your work: You take pride in your work, follow through on commitments, and feel a deep sense of responsibility for outcomes, not just tasks
- You care about impact, not noise: You care deeply about the substance of your work. You measure success by results, not recognition and you let your work speak for itself
- You crave autonomy: We trust our team with big challenges and the freedom to solve them. 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. If you don’t have all the listed qualifications, we encourage you to apply anyway, and together we’ll figure out if this is the best role for you!
- You’ve joined a company at its early stages and have seen it through scale
- You push relentlessly for reinvention: You’re built to constantly ask, “How can this be better?” Change excites you and you drive it

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📌 Senior Data Engineer (Toronto)
🏢 Relay
📍 Toronto