Our Alberta client is looking for a Senior Data Engineer hands-on Microsoft Fabric experience to support the Enterprise Information Management implementation program.The resource will design, build

Permanent, Full-time, Part-time

Full time

Remote

Advantages

Work with a provincial crown corporation and prestigious organization in the agribusiness space.

Responsibilities

- Design and build Microsoft Fabric data engineering workloads using Lakehouse, Warehouse, Data Factory, Notebooks, Spark, SQL Endpoint, and OneLake.
- Implement Raw, Curated, and Trusted data layers for governed data delivery.
- Build scalable ingestion and transformation pipelines for Salesforce, Oracle/SAP, APIs, files, and other enterprise sources.
- Develop reusable metadata-driven pipeline patterns for full, incremental, and CDC-style loads.
- Implement data quality checks, reconciliation rules, schema drift handling, audit logging, and restartable pipeline patterns.
- Support Microsoft Purview for data discovery, classification, ownership, stewardship, lineage, and certification, and validate lineage from source through Fabric into Power BI.
- Build Trusted data products that enable certified Power BI semantic models and reporting.
- Apply CI/CD using Azure DevOps, Git, pull requests, automated testing, and controlled deployments across DEV, UAT, and PROD.
- Support access controls using Entra ID groups, RBAC,



approved identities, Key Vault, and least-privilege patterns.
- Monitor pipeline performance, troubleshoot production issues, and create operational runbooks.
- Collaborate with business analysts, source-system SMEs, data stewards, BI developers, platform teams, and governance stakeholders.
- Produce technical documentation, data mappings, pipeline designs, test evidence, and knowledge-transfer materials; mentor junior team members and contribute to reusable engineering standards.

Qualifications

- 7+ years of experience in data engineering, analytics engineering, BI engineering, or enterprise data platform delivery.
- 4+ years of experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, or Azure data engineering services.
- Strong SQL skills and solid understanding of data modeling and data warehousing concepts.
- Proficiency in Python for data processing, automation, and pipeline support.
- Hands-on Spark-based data processing and notebook-driven development experience.
- Experience with Fabric Lakehouse, Warehouse, OneLake, SQL Endpoint, Data Factory, and semantic model enablement.
- Experience designing batch and incremental data pipelines.
- Experience applying CI/CD and engineering best practices to data and analytics workloads.

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