We are seeking a

Senior Fabric Data Engineer

with strong hands-on Microsoft Fabric experience to support data migration and modernization initiatives. This role focuses on building scalable ingestion, transformation, business-rule, and curated data layers that enable analytics, compliance reporting, skills insights, and downstream integrations.

Key Responsibilities

Design and implement robust data solutions using

Microsoft Fabric , including

OneLake , Fabric Pipelines, Lakehouse, Warehouse, and Notebooks.

Build and optimize scalable ingestion and transformation pipelines using

PySpark, Python, and SQL

across structured and unstructured datasets.

Migrate and harmonize data from legacy source systems and related enterprise platforms.

Develop API-driven and scheduled workflows to ingest data from internal and external systems and support downstream processing.

Implement business rules for learning history, completion status, certifications, compliance, skills, and learner profile data.

Build curated and consumption-ready datasets/models for analytics, dashboards, and operational reporting.

Perform SQL development and tuning for reporting, analytics, and downstream consumption.

Implement automated data quality checks, reconciliations, monitoring, exception handling, and audit logging.

Enforce secure access controls using Azure AD, RBAC, managed identities, and secure connectivity patterns.

Support CI/CD, code promotion, release management, and operational monitoring in Agile delivery environments.

Required Skills & Qualifications

7+ years of experience in data engineering and enterprise data integration.

Strong hands-on experience with

Microsoft Fabric

and related Azure data services.

Strong experience with

PySpark, SparkSQL, Python, and SQL/T-SQL .

Experience building ingestion and transformation pipelines from APIs, files, databases, and third-party platforms.





Experience with curated data layers, data modeling, and analytics-ready datasets.

Experience tuning data pipelines for scale, resiliency, and cost optimization.

Working knowledge of security, access controls, and data governance practices.

Experience with

Azure DevOps

and

Git -based deployment automation.

Strong analytical, troubleshooting, and communication skills.

Preferred Skills

Experience with learning, HR, or talent data domains.

Familiarity with ADF, Synapse, Databricks, Azure Functions, or Logic Apps.

Exposure to AI tools such as GitHub Copilot and Claude to accelerate engineering productivity and solution design.

Experience with data governance tooling such as Purview.

Exposure to AI/ML-ready data preparation and feature engineering practices.

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.

Ability to work independently and proactively in a fast-paced delivery workplace.

Comfortable operating in remote or hybrid teams with cross-functional coordination.

About Symbiotic Digital. Symbiotic Digital provides the IT Experts you need that solve problems and get things done. See what the top 2% in their field can do for you. (Symbiotic Digital is a division of Symbiotic Group Inc.) We serve customers in two ways, we provide:

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Recruitment: Find The Right People You Need

Serving IT & Business leaders, Symbiotic Digital provides a business system that enable us to provide the Expert Technical staff needed to solve challenging business and IT problems. IT leaders in the most reputable organizations in Canada have relied on Symbiotic Digital to help them staff difficult assignments with proven Experts uniquely evaluated by our proven QMS- Quality Management System Staff Development Model. We are a 100% Indigenous owned company.

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📌 Senior Fabric Data Engineer (Winnipeg)
🏢 Symbiotic Group
📍 Winnipeg