Data engineer • toronto on
Role: Data Engineer Location: Fully Remote - EST Time Zone - In Canada Comp: Salary + Bonus + Health Benefits    Why Veem?.Veem is transforming how businesses move money globally.Traditio...Show more
Employment Type: Full Time Location: Toronto, Ontario (Hybrid working model) 3 Working days in Office Salary Range: $86,00- 125,000 CAD Annually Please note: We have two of the same postings as we ...Show more
Data Engineer / Senior Data Engineer.Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture.You would collaborate with other high...Show more
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Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and mana...Show more
Join us at Manulife and be part of a team that strives for excellence, where your efforts will directly contribute to our success.Here, your work will have an important impact, and you’ll be empowe...Show more
Job Title: Senior Data Engineer.Job Location: Hybrid (3 days remote), Toronto, Canada.NearSource is looking for a Senior Data Engineer to design and scale enterprise-grade data platforms supporting...Show more
Are you ready to be part of a team that's pushing the boundaries of data engineering? SADA is looking for a proficient Data Engineer to join our accomplished Data Engineering Team.This role offers ...Show more
We are seeking a highly skilled Data Engineer for a permanent role to lead the design and implementation of robust data pipelines and advanced analytics models.In this position, you will be the bac...Show more
We are seeking a talented Data Engineer to join our rapidly expanding Centralized Data Hub.This is a strategic initiative transforming how our organization manages and leverages data at scale.As a ...Show more
Develop and optimize high-performance, end-to-end data transformation and reporting solutions using PySpark, Spark SQL, and T-SQL within cloud-native environments like Databricks.Architect and impl...Show more
As a Senior Data Engineer, you will be responsible for building and maintaining robust data integration and transformation solutions that support financial and regulatory reporting, including IFRS1...Show more
We are partnering with an established, Canada based online sportsbook and casino to appoint a.Reporting to the Head of Data & Analytics, this is a pivotal, hands-on role responsible for owning and ...Show more
Role: Principal Data Engineer Location: Toronto- Hybrid 2 days in office Key Responsibilities Lead the design, build, and evolution of cloud-native data engineering frameworks on AWS Architect and ...Show more
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive...Show more
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovati...Show more
Venture outside the ordinary - TMX Careers.The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations ...Show more
We’re looking for a Machine Learning Data Engineer to enable data and ML capabilities that directly power the bank’s flagship Next Best Action (NBA) initiative, projected to deliver an incremental ...Show more
About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI.Leveraging proprietary AI Studio and AI Engines, the com...Show more
Role: Data Engineer Location: Fully Remote - EST Time Zone - In Canada Comp: Salary + Bonus + Health Benefits Why Veem?
Veem is transforming how businesses move money globally.
Traditional cross-border payments are slow, expensive, and opaque—we’re changing that by building a seamless, transparent, and scalable platform that empowers businesses to pay and get paid anywhere in the world.
Our platform combines global payments, FX optimization, and embedded financial solutions to help partners and their customers unlock new growth opportunities.
From SMBs to large platforms, companies rely on Veem to simplify operations and expand internationally with confidence.
But what truly sets Veem apart is our partner-first approach .
We don’t just provide payments infrastructure—we collaborate closely with partners to drive mutual growth, unlock revenue streams, and deliver real business impact.
What makes Veem special Real impact: You’ll help businesses scale globally and move billions in payments more efficiently High-growth environment: Backed by strong momentum in fintech and embedded finance Ownership & autonomy: Make meaningful contributions and see your impact quickly Collaborative culture: Work cross-functionally with Product, Sales, and Operations Innovation-driven: Be part of shaping the future of global B2B payments At Veem, you’re not just joining a fintech company—you’re helping redefine the future of global commerce.
This is not a greenfield build role—the core data infrastructure is already in place and functioning.
Instead, the focus is on maintaining, optimizing, and incrementally improving existing systems.
This role is ideal for someone who enjoys working on the backend of data systems, is detail-oriented, and can quickly take ownership of ongoing data operations with minimal direction.
Key Responsibilities Maintain and optimize existing data pipelines and infrastructure within Snowflake Troubleshoot and resolve issues with data pipelines and reporting systems Build and update reports (e.g., compliance, partner billing) using Looker Develop and refine SQL queries and Python scripts to support data workflows Create and maintain specific data views based on internal requests Ensure data accuracy, reliability, and performance across systems Collaborate closely with the existing data engineer to support continuity and improvements Tech Stack Data Warehouse: Snowflake BI / Reporting: Looker Languages: Python, SQL Team & Reporting Structure Small, collaborative data team Individual contributor role (no direct reports) Ideal Candidate Profile 1–4 years of experience in a data engineering or similar role Strong proficiency in SQL and Python Hands on experience with the required technologies (Snowflake, Looker) Comfortable working in a maintenance and optimization-focused environment Able to quickly understand existing systems and contribute with minimal ramp-up Detail-oriented with strong problem-solving skills Motivated to grow into increased ownership over time Powered by JazzHR
