Senior Data Engineer - Payments Data Platform & AI

Valsoft Corporation

Saint-Laurent

Sur place

EUR 69 000 - 87 000

Plein temps

Il y a 6 jours
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Résumé du poste

Valpay is seeking a Senior Data Engineer to design, build, and operate the data platform that underpins analytics, reporting and product decisions. You will ensure the data is reliable, accessible, and trusted as it flows through payments data and AI features.

This on-site Montreal-based team collaborates across Engineering, Product, Finance and Growth Pods to tackle complex data problems with scalable pipelines and a robust semantic layer in Snowflake.

Responsabilités

  • Design, build and maintain scalable data pipelines and ELT/ETL processes across both batch and streaming workloads.
  • Model and optimize Snowflake warehouse with dimensional models, dbt transformations, and the semantic layer that analytics and product teams build on.
  • Build the data foundations for payments reporting: transaction lifecycle, settlement and reconciliation, merchant performance and partner revenue.
  • Own data quality, integrity, lineage and observability. You'll define what "trustworthy" means here and build the tooling that proves it.
  • Improve the performance, reliability and cost efficiency of the platform as transaction volumes grow.
  • Prepare and serve data for AI and LLM use cases — clean, well-documented, well-governed datasets that internal AI tools and customer-facing features can depend on.
  • Partner with stakeholders across the business to turn open-ended questions into well-scoped data solutions.
  • Work with software teams to deliver data capabilities.

Description du poste

Valpay is seeking a Senior Data Engineer to design, build, and operate the data platform that underpins analytics, reporting and product decisions. You will ensure the data is reliable, accessible, and trusted as it flows through payments data and AI features.

This on-site Montreal-based team collaborates across Engineering, Product, Finance and Growth Pods to tackle complex data problems with scalable pipelines and a robust semantic layer in Snowflake.

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