Senior Data Engineer (Accounting)

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies, we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

• 21 Google Cloud Partner of the Year awards in the past 10 years
• 3 AWS AI/ML Partner of the Year awards
• 3 NVIDIA Partner of the Year awards
• 3 Snowflake Partner of the Year awards
• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

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.

For more details, visit: Website or LinkedIn Page.

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.

• 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.

• 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.