Veem empowers small and medium businesses who spend too much time and money dealing with inefficient financial payment systems. Our transparent, relationship-based payments model makes it easy to build trust with your vendors, contractors and customers by providing a quick and seamless payable and receivable process. We make the process even easier for these clients by supporting integration with all major accounting software including QuickBooks, NetSuite, and Xero. Backed by top investors such as Truist Ventures, Google Ventures, Goldman Sachs, Kleiner Perkins and a global syndicate of tech-forward banks based in the US, Japan, China, Australia, and the Middle East, Veem is a fast-growing financial technology company that is changing the way companies pay and get paid with multi-type payments including Blockchain.
Data Engineer
Location
Canada
Posted
43 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Engineer
Veem
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. Role Overview We’re looking for a technically strong Data Engineer to help alleviate a capacity bottleneck within a small, high-impact data team. 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
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FISAdvancing the ways the world pays, banks and invests.
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Overview Role Overview We are looking for a Senior Data Engineer specializing in Looker (LookML) to lead the frontend analytics and data modeling layer of a client-facing insights platform. In this role, you will transform raw data from Google Cloud Platform (GCP) into secure, scalable, and actionable insights for external stakeholders. A key focus of this position is managing a complex multi-tenant Looker environment, maintaining a dynamic LookML layer that routes users to their respective BigQuery datasets. You will ensure a one-to-many dashboard architecture remains high-performing, governed, and secure across multiple client deployments. Responsibilities Responsibilities - Lead the development and maintenance of advanced LookML models, explores, and reusable dashboard frameworks - Manage and optimize a multi-tenant Looker instance, ensuring secure client-level dataset routing - Implement dynamic access controls using Liquid variables, user attributes, and security filters - Design scalable and performant analytics layers on top of BigQuery datasets, supporting complex business use cases - Develop and maintain SQL logic leveraging advanced BigQuery features such as window functions and nested/repeated fields - Oversee version control workflows for LookML projects, dashboards, and metrics using Git-based branching strategies - Administer Looker users, groups, roles, and custom attributes to support client-specific configurations - Ensure data governance best practices are applied across modeling, access, and reporting layers - Collaborate with cross-functional teams to translate raw GCP data into client-ready insights Qualifications Qualifications - 3+ years of experience with Looker and LookML, including complex modeling and instance management - 4+ years of advanced SQL experience, specifically in Google BigQuery (window functions, nested/repeated fields) - 4+ years of hands-on experience working with Google BigQuery in analytics and reporting environments - 3+ years of experience with Google Cloud Platform (GCP) and understanding of its resource structures - 3+ years of experience using Git for version control, branching, and deployment workflows - Proven experience managing multi-tenant BI environments supporting multiple external clients securely within one platform - Strong knowledge of Looker dynamic content tools such as Liquid variables, user attributes, and access filters - Experience in user administration, including roles, groups, and custom client configurations - 2+ years of exposure to broader Business Intelligence (BI) tools and practices - Familiarity with Snowflake (1+ year) is a plus Required Skills Google BigQuery (4), Looker (3), SQL (4), Google Cloud Platform (GCP) (3), Git (3), Business Intelligence (BI) (2), Snowflake (1) Years of Experience Needed 5
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