Senior Data Engineer (Accounting)

Role overview

Build trusted, reusable data products that support accounting and financial reporting. Partner with finance, analytics, and data architecture teams to bring information from multiple financial systems into well-structured datasets, translating business needs into scalable data models and reporting solutions. The role is listed as remote in Canada and calls for at least six years of data engineering or analytics experience.

Responsibilities

- Gather finance and accounting requirements and turn them into technical data solutions. - Explain financial data structures and their nuances to business stakeholders. - Build and monitor ingestion and transformation pipelines from financial and ERP sources for reporting. - Maintain Microsoft Fabric lakehouses and warehouses, along with Power BI semantic models for financial analytics. - Map data and business logic from systems such as general ledger, payables, receivables, and asset management into centralized datasets. - Deliver reporting needs on schedule while helping grow a sustainable financial data warehouse platform.

Requirements

- Bachelor’s degree or equivalent background in a relevant area such as computer science, data engineering, analytics, finance, or accounting. - At least six years of data engineering or data analytics experience. - Advanced SQL skills and strong familiarity with Microsoft Fabric and Power BI data modeling and reporting. - Working knowledge of data modeling, governance, and data quality practices. - Experience consolidating financial data and translating complex business needs into technical solutions. - Strong communication and relationship-building skills across business and technical teams.

Nice to have

Python skills, familiarity with ERP platforms such as Dynamics 365 or Microsoft Navision, and experience with accounting or finance processes. Planning, facilitation, estimation, and organization skills are also useful, as is comfort adapting to changing priorities.