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Job Title


Data Analyst – MS Fabric


Company : Systematix group


Location : Vaughan, York Region


Created : 2025-10-23


Job Type : Full Time


Job Description

Overview We are Systematix and we are currently looking for a Data Analyst (Microsoft Fabric Certified) to support the design, orchestration, and optimization of enterprisescale data and analytics solutions for our clients operations in Vaughan, Ontario. About the Project Our client is seeking a highly skilled and certified Data Analyst with expertise in Microsoft Fabric to join their Data and Analytics team. The successful candidate will be responsible for designing and maintaining semantic models, lakehouses, and data warehouses, while orchestrating data pipelines and realtime intelligence solutions. In this role, you will collaborate closely with architects, engineers, and business stakeholders to deliver enterprisescale analytics, ensure data security and governance, and optimize performance across Microsoft Fabric assets. This position requires strong technical proficiency in SQL, DAX, and PySpark, along with a deep understanding of data integration, modeling, and analytics orchestration. Responsibilities Design and maintain semantic models, lakehouses, and data warehouses using Microsoft Fabric. Develop and orchestrate data pipelines and dataflows for ingestion, transformation, and realtime intelligence. Collaborate with architects, engineers, and business stakeholders to deliver enterprisescale analytics solutions. Secure and manage analytics environments, ensuring compliance with governance and privacy standards. Monitor and optimize performance across Fabric assets using tools like SQL, PySpark, and DAX. Support deployment and administration of Fabric environments, including OneLake, Copilot Studio, and Power BI integrations. Role Details Location: Vaughan, Ontario Department: IT Services / Enterprise Architecture Reports To: Manager, Solutions Architecture Type: Fulltime hybrid contract role (onsite as required) Duration: 12 months with potential for extension and/or conversion to permanent employment Qualifications Bachelors degree in Data Science, Computer Science, or a related field. 510 years of experience in data analytics or engineering roles. Proven experience with Microsoft Fabric, including lakehouse and warehouse implementations. Strong command of SQL, DAX, and PySpark. Experience with data modeling, data integration, and analytics orchestration. Excellent communication and stakeholder engagement skills. Certifications (Strongly Preferred) Microsoft Certified: Fabric Data Engineer Associate Microsoft Certified: Fabric Analytics Engineer Associate Bonus Skills (Nice to Have) Exposure to Databricks and Snowflake platforms. Familiarity with AI skills, Copilot Studio, or Fabric APIs. Understanding of data governance, security models (RLS, CLS, masking), and deployment best practices. Experience with Microsoft Azure cloud services. Apply If you are interested in finding out more, please contact us or submit your resume. Or, if you know someone who meets these qualifications, please forward this assignment. About Systematix Systematix is a Global Consulting and Resourcing firm headquartered in Canada with offices across North America and the United Kingdom. We provide the highest caliber consulting solutions to a diverse client base that includes all levels of Government and all Private Industry sectors. Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer. At Systematix, we dont just accept difference, we thrive on it and believe that diverse cultures, perspectives, and experiences enhance our workforce and bring value to our community. Systematix Technology Consultants Inc has adopted the Employment Equity Policy to promote the full participation and advancement of members of the designated groups (women, indigenous peoples, members of visible minority groups, and persons with disabilities) under the Canadian Human Rights Act and Employment Equity Act in the Systematix Technology Consultants Inc workforce. #J-18808-Ljbffr