Data Engineer

Info-Tech Research Group delivers impartial, highly pertinent IT research, enabling CIOs and IT leaders to make well-informed, strategic decisions. We are currently serving over 30,000 professionals and collaborate closely with IT teams, equipping them with actionable tools and expert guidance to drive measurable results and enhance technology initiatives and organizational processes. We pride ourselves on consistent year-on-year growth, with double-digit growth even during a global pandemic. We are in the Top 3 on LinkedIn's Top Companies List in Canada. Info-Tech fosters a growth-focused, entrepreneurial culture with unlimited opportunities for professional growth and development. We provide financial support for professional development and training. About the role We are seeking a hands‑on Data Warehouse Engineer to lead the end‑to‑end implementation of Microsoft Fabric within our organization. This role is central to establishing our modern data foundation—enabling seamless data integration, transformation, and analytics through Fabric’s unified architecture. You will design and implement the bronze, silver, and gold layers, set up ETL/ELT pipelines, and leverage advanced Fabric components such as Data Factory, One Lake, Notebook, and CoPilot to deliver scalable, intelligent data solutions. Key Responsibilities Requirements & Solution Design Collaborate with the Data & Analytics (D&A) team and business stakeholders to document data requirements and define architecture for the initial Proof of Concept (POC). Translate unstructured stakeholder discussions into actionable technical requirements and innovative data solutions. Technical Implementation Build and deploy Microsoft Fabric components, including Data Factory pipelines, Lakehouse structures, and Power BI datasets. Implement the Bronze–Silver–Gold data architecture for raw ingestion, standardized transformation, and curated analytical data. Explore and integrate CoPilot and One Lake features to enhance automation, discovery, and governance. Data Governance & Operations Develop a repository of standardized patterns, principles, and reusable building blocks for data engineering. Partner with the Director of Data Operations and business leaders to define KPIs, data quality standards, and governance practices. Contribute to organizational data strategy and drive education and adoption across teams Qualifications and Experience Minimum 4+ years of professional experience in Data Engineering, Architecture, or AI, across multiple organizations. Hands‑on experience with data platform implementation, ideally within Microsoft Azure and Fabric ecosystems. Technical Expertise Data Engineering and ETL/ELT pipeline design Data Lakehouse / Warehouse architecture (e.g., Delta, Parquet, Lakehouse models) Data Integration and Enterprise Content Management Data Quality, MDM, and Data Enrichment Business Intelligence and Analytics using Power BI Familiarity with Microsoft Synapse, Azure Data Factory, SQL, and data modeling tools are a strong asset. Strong communication, relationship management, and presentation skills. Ability to navigate complex service delivery models and align diverse stakeholder needs. A self‑starter with excellent organizational and documentation abilities. Demonstrated alignment with Info‑Tech Research Group’s core values and commitment to trusted partnership. Info-Tech Research Group of companiesis an equal opportunity employer committed to diversity and inclusion and does not discriminateon the basis ofany legally protected status or characteristic including Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran and are pleased to consider all qualified applicants. To that end, upon request, ITRG will ensure, to the extent possible, that accommodation be made available to applicants throughout the recruitment and hiring process. #J-18808-Ljbffr