Jobherder
  • How it works
  • Pricing
  • Sample output
  • Jobs
  • Blog
  • Help
Log inTry a free sample

← All jobs

EU remote

Ingénieur(e) de données principal(e) | Senior Data Engineer

Valsoft CorporationSaint-LaurentPosted 18 Sept 2026

Start a search — €9.99Apply on employer site

About this role

ABOUT VALPAY At Valpay, we're building the next generation of embedded payments. We help SaaS companies turn payments from a utility into a new line of revenue — our PayFac-as-a-Service model delivers the benefits of integrated payments while we absorb the complexity. More than 3,000 merchants across 12 verticals in North America, Europe and Australia run on our platform. Our Growth Pods operate like small business units: each one owns the software partners it acquires, the merchants it activates, and the revenue it grows.

THE ROLE As a Senior Data Engineer, you'll design, build and operate the data platform behind Valpay's analytics, reporting, product development and day-to-day operational decisions. Payments data is our core asset — every transaction, settlement and merchant interaction flows through systems you'll help shape. You'll work alongside Engineering, Product, Finance, Operations and the Growth Pods to make data reliable, accessible and trusted across the company, and increasingly to make it usable by the AI-powered tools and features we're building on top of it.

This is an on-site role at our Montreal office. We build in person: our data, engineering and Growth Pod teams sit together, and the quickest way to untangle a payments data problem is at a whiteboard with the people who own the system. WHAT YOU'LL DO • Design, build and maintain scalable data pipelines and ELT/ETL processes across both batch and streaming workloads. • Model and optimize our Snowflake warehouse — 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.

Jobherder

Stop searching. Start applying.

Product

How a search worksPlans and pricingExample deliveryJob board

Resources

ArticlesHelp centreFor recruitersAgentsAffiliate programme

Features

CV tailoringRemote job searchCareer change

• Partner with stakeholders across the business to turn open-ended questions into well-scoped data solutions. • Work with software engineers to embed data solutions into customer-facing products and internal systems. • Set and document the standards, patterns and practices the data team will grow into. WHAT YOU'LL BRING • 5+ years building and running production data systems as a Data Engineer, Analytics Engineer, or in a closely related role.

• Advanced SQL and strong Python (or a comparable language), with production engineering habits — version control, testing, code review, CI/CD. • Hands-on experience with our core stack: Snowflake, dbt and Airflow, or close equivalents you can carry across quickly. • Strong data modeling and warehousing fundamentals — dimensional modeling, incremental patterns, slowly changing dimensions — and a working understanding of distributed data systems.

• Experience on a major cloud platform (AWS, Azure or GCP). • A track record of working cross-functionally and explaining technical trade-offs to people who don't share your background. • A degree in Computer Science, Engineering, Mathematics, Statistics or a related quantitative field — or equivalent hands-on experience. NICE TO HAVE • Experience in payments, fintech, financial services or another transaction-heavy, accuracy-critical environment.

• Direct exposure to embedded payments, PayFac models, merchant acquiring or payment processing. • Experience building data infrastructure for AI/LLM applications — retrieval pipelines, vector stores, context or feature layers, evaluation datasets. • Fluency with AI-assisted development tools in your day-to-day engineering work. • Real-time streaming and event-driven architectures (Kafka, Kinesis or similar). • Familiarity with data governance, privacy and security in regulated environments (PCI DSS, SOC 2, Quebec's Law 25, GDPR).

• Experience building customer-facing data products or analytics platforms. WHAT SUCCESS LOOKS LIKE • In your first 90 days, you know our payments data model end to end and have shipped improvements to the pipelines the business depends on most. • By six months, data quality and observability are measurably better — teams trust the numbers and stop rebuilding their own versions of them. • By twelve months, the platform handles materially higher volume without a proportional rise in cost or incidents, and the patterns you've set are how the team builds by default.

WHY VALPAY • Foundational work, not maintenance. You'll make architecture decisions that shape the platform for years, at a company still early enough for those decisions to matter. • Real ownership. Our Growth Pods run like small businesses. Data isn't a service desk here — it's how decisions get made. • Payments at scale, without the bureaucracy. 3,000+ merchants across three continents, and a team small enough that you'll know everyone building it.

• Visible impact. You'll see your work in the numbers the business runs on. • Competitive compensation, comprehensive benefits, and room to grow — technically or into leadership. WORKING AT VALPAY This is a full-time, on-site position based in our Montreal office. Valpay is an equal opportunity employer. We welcome applications from all qualified candidates and are committed to an inclusive, barrier-free hiring process.

If you need an accommodation at any point in the process, let us know and we'll work with you. ___________________________________________________________________________________________ À PROPOS DE VALPAY Chez Valpay, nous bâtissons la prochaine génération de paiements intégrés. Nous aidons les entreprises SaaS à transformer les paiements, d'un simple service utilitaire en une nouvelle source de revenus : notre modèle PayFac as a Service leur en procure tous les avantages pendant que nous absorbons la complexité.

Plus de 3 000 marchands répartis dans 12 secteurs verticaux en Amérique du Nord, en Europe et en Australie utilisent notre plateforme. Nos Growth Pods fonctionnent comme de petites unités d'affaires : chacune est responsable des partenaires logiciels qu'elle recrute, des marchands qu'elle active et de la croissance des revenus qu'elle génère. LE POSTE À titre d'ingénieur(e) de données principal(e), vous concevrez, bâtirez et exploiterez la plateforme de données qui soutient l'analytique, la production de rapports, le développement de produits et les décisions opérationnelles quotidiennes de Valpay.

Les données de paiement sont notre actif central : chaque transaction, chaque règlement et chaque interaction marchande transite par des systèmes que vous contribuerez à façonner. Vous collaborerez avec les équipes d'ingénierie, de produit, des finances, des opérations et les Growth Pods afin de rendre les données fiables, accessibles et dignes de confiance dans toute l'entreprise — et, de plus en plus, exploitables par les out

Source listing: workable_valsoft-corp

Prefer jobs chosen for you?

Upload your CV and Jobherder returns handpicked roles with a tailored CV and cover letter for each — built from your real experience.

Start a search — €9.99

© 2026 Jobherder

PrivacyTermsSupport