Senior Data Engineer

Senior Data Engineer (Data / ML Platform)

Flinks is the embedded finance platform that brings together connectivity, intelligence, and payments — giving businesses the infrastructure they need to build and deliver seamless financial experiences at scale. As a leader in Open Finance in Canada, we've grown since 2016 into one of North America's most trusted platforms for financial data access, enrichment, and money movement. We work with innovators across many industries, including lending, fintech, banking, insurance, and wealth management.

Today, our platform connects to 15,000+ financial institutions across North America and powers over 1M monthly connections. We also give our customers unprecedented visibility into 4,500+ real-time financial insights to support smarter decisioning. Companies rely on Flinks to streamline onboarding, verify income, assess credit risk, and power faster payment experiences.

We're on a mission to drive financial innovation and help businesses build financial experiences that feel effortless, connected, and customer-first. That's where you come in.

We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as a discipline at Flinks. You'll own the data and ML platform that turns models into reliable production services, harden the data models the business runs on and close the seam between our data scientists and the product teams. This is a high-ownership, greenfield-leaning role: much of this foundation is yours to build and own, not inherit.

If you like being the person who makes data and ML production-grade - pipelines, serving, governance, reliability - and you want broad impact across a company's data, this is built for you.

You'll help build and evolve the data platform that powers Flinks' financial intelligence products, supporting everything from transaction enrichment and categorization to risk and payments decisioning.

Key areas of focus include:

• Building scalable data pipelines that process and transform large volumes of financial data.
• Designing and maintaining reliable datasets, data models, and feature pipelines used by machine learning and product teams.
• Improving data quality, observability, and operational metrics across our platform and customer-facing products.
• Developing cost-efficient, high-performance data services and infrastructure that support real-time and batch workloads.
• Partnering closely with Data Science, Product, and Engineering teams to enable new capabilities and accelerate product delivery.
• Contributing to the evolution of our data platform architecture as we continue to scale our products, customers, and machine learning capabilities.

You don't need experience with every tool listed above - strong Data Engineering fundamentals and experience building production data platforms matter more than direct experience with our exact stack. SQL is the exception: it's a non-negotiable (see Key Requirements).

We're on a mission to drive financial innovation and help businesses build financial experiences that feel effortless, connected, and customer-first. That's where you come in.

For experienced and qualified hires located in Canada, of senior (IC4) level, the compensation range is between $120,000 to $160,000 CAD annually.

As part of the total rewards package, Flinks offers:

• Health & Dental coverage as of Day 1
• Flexible Paid Time Off (FTO)
• Remote work environment with frequent in-person gatherings and activities.
• Career development, learning opportunities and growth
• And more

We are committed to providing accommodations for persons with disabilities. If you require accommodation, we will work with you to meet your needs.

Flinks uses artificial intelligence (AI) during the recruitment process to assist in screening, assessing, or selecting applicants.