Data Engineer

Posted 10 Hours Ago
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Toronto, ON, CAN
In-Office
Senior level
Fintech • Information Technology • Software • Financial Services
The Role
Own Venn's data infrastructure, build reliable data pipelines, design trusted data models, and improve data quality across the organization to support business decisions.
Summary Generated by Built In

About Venn

Venn is the fastest-growing B2B fintech in Canada.
We're on a mission to transform business banking for Canadian entrepreneurs and are looking to hire A-players interested in disrupting traditional banking practices. As the ONLY digital banking platform in Canada offering a truly modern solution, we have seen accelerated growth—scaling to support more than 10,000 Canadian businesses in under two years. Business owners are tired of the big banks’ monopoly and are looking for modern tools that replace the legacy systems that have been their only option for over 100 years.


We've raised over $26.5M from Tier 1 investors such as Gradient, Left Lane Capital, Intact, and XYZ Venture Capital. Interested in redefining the future of banking in Canada? Look no further.

What You'll Be Doing

  • Own Venn’s data infrastructure, including pipelines, models, warehouses, and reporting layers that power product, finance, risk, operations, marketing, and leadership decisions.

  • Build reliable ETL and ELT pipelines that ingest, transform, and structure data from our core product, banking partners, card processors, payment systems, accounting integrations, CRM, marketing tools, and internal systems.

  • Design clean, trusted data models and analytics layers that make business-critical data easy to access, understand, and use across the company.

  • Partner with engineering on event schemas, tracking requirements, and measurement architecture to ensure data is reliable, scalable, and built correctly from the start.

  • Improve data quality, observability, documentation, lineage, testing, and governance across the stack.

  • Empower teams across Venn to use AI-assisted workflows, MCPs, and trusted data tools to safely query data, run analysis, and answer business questions independently.

  • Build dashboards, reports, and self-serve workflows for core company metrics, including transaction volume, card spend, FX, balances, revenue, activation, retention, onboarding conversion, acquisition, and risk signals.

  • Support marketing, growth and sales measurement where needed, including attribution, paid media incrementally, web analytics, CRO, lifecycle analytics, SEO, and organic acquisition reporting.

  • Help translate complex data into clear recommendations that influence product, GTM, finance, and leadership decisions.

What You’ll Need

  • 5+ years of experience in data engineering, analytics engineering, or a highly technical data role.

  • Experience building and maintaining reliable ETL or ELT pipelines using modern data tooling.

  • Experience working with data warehouses, transformation frameworks, BI tools, and event or product analytics systems.

  • Strong understanding of data quality, testing, documentation, lineage, metric definition, and analytics reliability.

  • Strong SQL skills and experience building production-grade data models.

  • Ability to translate ambiguous business questions into clean data models, dashboards, and clear recommendations.

  • Experience partnering with engineering teams on tracking requirements, event schemas, and data infrastructure.

  • Comfort working cross-functionally with product, engineering, finance, operations, growth, marketing, RevOps, and leadership teams.

  • Experience with marketing, growth, or web analytics, including attribution, funnel analysis, paid media measurement, SEO analytics, lifecycle analytics, or CRO.

  • Strong communication skills, with the ability to explain technical data concepts and analytical findings in a way that drives business decisions.

Bonus Points

  • Experience at an early-stage or fast-growing startup.

  • Experience at a fintech

Perks & Benefits

  • Competitive salary.

  • Latest tech and equipment.

Skills Required

  • 5+ years of experience in data engineering, analytics engineering, or a highly technical data role.
  • Experience building and maintaining reliable ETL or ELT pipelines using modern data tooling.
  • Experience working with data warehouses, transformation frameworks, BI tools, and event or product analytics systems.
  • Strong understanding of data quality, testing, documentation, lineage, metric definition, and analytics reliability.
  • Strong SQL skills and experience building production-grade data models.
  • Ability to translate ambiguous business questions into clean data models, dashboards, and clear recommendations.
  • Experience partnering with engineering teams on tracking requirements, event schemas, and data infrastructure.
  • Comfort working cross-functionally with various teams including product, engineering, and marketing.
  • Experience with marketing, growth, or web analytics, including attribution and funnel analysis.
  • Strong communication skills to explain technical data concepts effectively.
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The Company
HQ: Toronto, ON
34 Employees

What We Do

Venn is streamlining Canadian business banking. Built by Canadians for Canadians, Venn offers a full-service banking platform designed to empower businesses with fast, easy, and affordable solutions. In just under five minutes, you can open an account and start managing your finances - all without ever stepping foot in a branch. Unlike traditional banks, Venn is designed to work the way modern businesses do. We provide everything you need in one smart, all-in-one business account. With transparent pricing, seamless global money transfers, and powerful integrations, Venn allows you to focus on running your business, not managing your banking.

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