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Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work, reflecting our commitment to our people and our culture.
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Experience Level: 6+ years of experience
Work Location: Remote Canada
About the Role
The Analytics Data Engineer is a highly organized and collaborative professional who partners with business analytics and data architecture teams to ensure data alignment and availability. Working directly with the Accounting and Finance teams, this role involves locating, translating, and consolidating financial data into well-structured, sustainable fact tables to enable core accounting and financial reporting functions. The engineer translates business needs into scalable data architecture, manages and optimizes Microsoft Fabric infrastructure, and ensures reporting consistency across financial business units. Success in this role means delivering trusted, well-modeled data products to support financial reporting, reconciliations, and enterprise data growth.
Key Responsibilities
Communicate complex financial data structures and nuances to business stakeholders to drive informed decision-making.
Translate accounting and finance business requirements into actionable technical solutions.
Implement and monitor efficient data ingestion and transformation from multiple source systems (e.g., financial modules, ERPs) for Microsoft Fabric reporting.
Maintain enterprise-level Fabric lakehouses, warehouses, and Power BI semantic models tailored to financial analytics.
Map the data and logic of different ERP systems (such as general ledgers, accounts payable/receivable, and asset management) into central sources within a database.
Deliver on accounting business needs on schedule while supporting the ongoing development of a modern, scalable financial data warehouse and reporting platform.
Basic Qualifications
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Finance, Accounting, or an equivalent field.
6 years of experience in data engineering or data analytics.
High level of expertise in SQL.
High familiarity with the Microsoft Fabric platform, infrastructure, and Power BI data modeling/reporting.
Familiarity with data modeling, data governance frameworks, and data quality management.
Demonstrated ability to gather and consolidate different streams of financial data into centralized locations.
Experience translating complex business needs into actionable technical solutions.
Demonstrated success in communication across business domains.
Other Qualifications
Proficiency in Python is a plus.
Technical familiarity with ERP systems (e.g., D365, Microsoft Navision) is a plus.
Background in Accounting/Finance business processes is highly preferred.
Excellent communication (written, verbal, and presentation) and interpersonal skills.
Ability to build and maintain relationships by engaging business process owners to establish credibility, solve problems, and build consensus.
Excellent time management, facilitation, and organizational skills.
Ability to estimate technical work and build out a task plan and timeline with a project manager.
Flexible with a proven ability to conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities.
Technically competent with various software programs, including Microsoft Office (Word, Excel, PowerPoint, Outlook, Project, SharePoint), Planview, and ServiceNow.
Comfortable in a standard office environment with prolonged sitting in front of a computer.
What’s in it for YOU at Quantiphi
Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
