Senior Data Engineer

Flinks est une plateforme de finance intégrée qui réunit la connectivité, l'intelligence financière et les paiements, offrant aux entreprises l'infrastructure nécessaire pour concevoir et déployer des expériences financières fluides à grande échelle.

Chef de file de la finance ouverte (Open Finance) au Canada, nous avons connu une croissance soutenue depuis 2016 pour devenir l'une des plateformes les plus fiables en Amérique du Nord en matière d'accès aux données financières, d'enrichissement des données et de mouvement de fonds. Nous collaborons avec des entreprises innovantes dans de nombreux secteurs, notamment le crédit, les technologies financières (fintech), les services bancaires, l'assurance et la gestion de patrimoine.

Aujourd'hui, notre plateforme est connectée à plus de 15 000 institutions financières à travers l'Amérique du Nord et soutient plus d'un million de connexions mensuelles. Nous offrons également à nos clients un accès à plus de 4 500 indicateurs financiers en temps réel afin de favoriser une prise de décision plus éclairée. Les entreprises s'appuient sur Flinks pour simplifier l'intégration de leurs utilisateurs, vérifier les revenus, évaluer le risque de crédit et offrir des expériences de paiement plus rapides.

Notre mission est d'accélérer l'innovation financière et d'aider les entreprises à créer des expériences financières simples, connectées et centrées sur leurs clients. C'est là que vous entrez en jeu.

About Flinks

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.

The Role

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.

What You'll Do

• Own and evolve the data platform - the BigQuery warehouse, dbt transformation layers, Airflow / Cloud Composer orchestration and Pub/Sub ingestion that feed every model and metric
• Build and operate the ML platform - training pipelines (Kubeflow on Vertex AI), model serving (FastAPI behind Vertex endpoints), CI/CD, containerization and typed contracts. Take operational ownership of model-serving infrastructure so reliability isn't carried by the data scientists alone
• Harden and standardize the data models the business depends on - improving schemas, fixing data-quality issues and establishing trustworthy source-of-truth feeds
• Establish data governance and observability - bring data that lives outside the warehouse under proper governance and build operational metrics for products that don't yet have them
• Standardize how data engineering is done across product lines - patterns, tooling and pipelines other teams can adopt
• Partner across data science, backend and product on the producer to consumer contract (models produced by data science, consumed/aggregated downstream, surfaced to clients)

What You'll Work On

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.