Senior Data Engineer - Microsoft Fabric

ELITS

$90K — $120K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on data engineering experience, particularly with production data platforms.
  • In-depth knowledge of Microsoft Fabric, Azure Databricks, and Azure Synapse.
  • Proficiency in PySpark, Spark SQL, and Delta Lake with a focus on efficient data ingestion and processing.
  • Strong understanding of data modeling and database design for analytical purposes.
  • Experience with CI/CD using GitHub Actions, especially for Azure and Fabric workflows.

Responsibilities

  • Design and implement the Bronze, Silver, Gold architecture in Microsoft Fabric following medallion design principles.
  • Develop idempotent data pipelines with comprehensive validation at each transition tier.
  • Define data products, models, SLAs, and documentation for the Data Hub platform.
  • Collaborate with architects to uphold data architecture standards across the platform.
  • Ensure data accuracy and consistency across multiple sources and transformation layers.
  • Identify and resolve data issues in pipelines and transformations efficiently.
  • Work closely with Data Scientists and Analysts to deliver suitable data products.

Benefits

  • Remote work flexibility within Canada, with preference for Eastern Canadian candidates for better collaboration.
  • Opportunity to work in a dynamic, small team environment that encourages ownership and initiative.
  • Support for continuous learning and improvement in a culture that values collaboration and trust.
  • Potential for significant impact in the development of innovative data solutions within the organization.
Full Job Description
About the position

As a Senior Data Engineer, you will own the technical foundation of our Data Hub platform in Microsoft Fabric. You will work closely with the Digital Lead and Data Analyst to design and build a medallion architecture that transforms raw data into trusted, business-ready data products for technical product teams, using Bronze, Silver and Gold layers in a Fabric lakehouse.

This is a hands-on senior role for someone who can define interfaces between the Data Hub and dependent teams, operate pipelines in production, and communicate trade-offs clearly in a small, autonomous environment.

This position is remote within Canada, with a preference for candidates based in Eastern Canada to support smoother collaboration and working-hour overlap with colleagues in Sweden.

Your main responsibilities
• Design, build and own the Bronze  Silver  Gold lakehouse architecture in Microsoft Fabric, following medallion design principles for progressive refinement of data.
• Develop robust, idempotent data pipelines with data quality checks and validation at each tier boundary.
• Define and maintain data products, data models, ownership boundaries, SLAs and documentation for the Data Hub platform.
• Work with architects and stakeholders to define and follow data architecture standards across the platform.
• Ensure data accuracy, completeness and consistency across data sources, transformation layers and consumer interfaces.
• Identify, troubleshoot and resolve data-related issues in pipelines, schemas, transformations and downstream consumption.
• Collaborate closely with Data Scientists, Data Analysts and business units to understand data requirements and deliver fit-for-purpose data products.
• Provide technical guidance and support on data-related topics across teams.
• Document data flows, schemas, transformations, pipelines and operational processes to support maintainability and team scalability.

Requirements
• Senior-level profile with proven hands-on delivery experience in data engineering and technical ownership of production data platforms.
• Able to work independently and take technical ownership.
• Strong communication skills and experience working in cross-functional teams.
• Deep experience with PySpark, Spark SQL and Delta Lake, including partitioning strategy, MERGE patterns, and batch versus streaming trade-offs.
• Production experience with Microsoft Fabric or Azure Databricks.
• Hands-on experience with Azure data platforms, including Azure Synapse, Microsoft Fabric, and active development experience in Databricks for pipelines and optimization.
• Strong understanding of event-driven patterns for data ingestion; experience with Azure Event Hubs is a strong plus.
• Solid understanding of data modelling and database design for analytics and business consumption.
• Experience with version control and CI/CD practices using GitHub Actions, which is commonly used for Azure and Fabric-related deployment workflows.
• Good knowledge of Azure cloud services and data platform services.
• Ability to think in terms of data products and domain ownership, and to define clear interfaces between platform teams and consuming teams.
• Strong operational mindset for running and supporting pipelines in production.

Nice to have
• Experience with real-time ingestion and event streaming using Azure Event Hubs.
• Experience designing lakehouse patterns and semantic consumption layers in Microsoft Fabric.
• Experience optimizing Spark workloads for performance and cost on Azure platforms.
• Exposure to CI/CD patterns for Fabric or Azure data platforms through GitHub-based deployment workflows.

Qualities

At ELITS Canada, great people create great impact. Success in this role comes from curiosity, ownership and a passion for building practical, scalable solutions. You are someone who:
• Thrives in a collaborative, cross-functional team and communicates with clarity and confidence.
• Balances strong technical depth with pragmatic, solution-oriented decision making.
• Takes initiative, works independently and is comfortable owning technical outcomes.
• Brings structure and discipline to documentation, standards and operational excellence.
• Contributes to a culture of trust, learning and continuous improvement.

This position is open to Canadian residents and individuals with a valid work permit in Canada.

Team IT-Consulting Locations Mississauga, Montreal, Ottawa, Qubec, Sherbrooke, Toronto, Halifax, Gatineau Remote status Fully Remote

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