Senior Data Engineer, Microsoft Fabric - 6 month contract

Central 1

. Design and build scalable pipelines using OneLake, Fabric Lakehouse, Fabric Data Warehouse, ADF and Azure components .

Posted 10/26/2026contractVancouver • CanadaSenior💰 CA$85 - CA$100 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data pipelines using Microsoft Fabric components, including OneLake and Azure Data Factory, while ensuring compliance and governance standards. Proficient in implementing ELT/ETL processes and optimizing performance within the Azure data ecosystem.

Highest-signal resume keywords

Microsoft Fabric ExperienceData Engineering ExperienceELT/ETL Design ExperienceAzure DevOps ExperiencePower BI Semantic Models Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPySparkSpark NotebooksDbtDimensional Data ModelingMedallion ArchitectureData Pipeline OptimizationFabric Data WarehouseFabric LakehouseAzure Data Factory

Soft Skills

Technical LeadershipMentorshipCollaboration

Tools & Technologies

Azure DevOpsGitPower BI

Certifications & Qualifications

Microsoft Certified: Fabric Data Engineer Associate

Industry Keywords

Financial ServicesGovernanceRBACLineageMonitoringPerformance Optimization

Tech Stack

Tools & technologies

AzureETLPySparkSparkSQL

About the role

Key responsibilities & impact

Design and build scalable pipelines using OneLake, Fabric Lakehouse, Fabric Data Warehouse, ADF and Azure components
Provide technical leadership and mentorship on Microsoft Fabric engineering
Work closely with the Architecture team to align with architectural standards and platform best practices
Develop and optimize ELT/ETL pipelines using SQL, dbt, PySpark, Spark Notebooks and Fabric Data Pipelines
Collaborate with Data Architects, Product Owners, Business Stakeholders and Analytics teams to translate business requirements into scalable technical solutions
Implement Medallion Architecture (Bronze, Silver, Gold)
Establish governance, security, lineage, monitoring and compliance standards
Optimize Fabric capacity utilization and performance
Design and support enterprise semantic models and Power BI integrations
Implement CI/CD using Azure DevOps and Git
Design and implement dimensional data models using Kimball modelling principles

Requirements

What you’ll need

2+ years of hands-on Microsoft Fabric experience delivering enterprise-scale solutions
8+ years of Data Engineering experience
Deep expertise with OneLake, Fabric Lakehouse, Fabric Data Warehouse, Azure Data Factory, Spark, PySpark and SQL
Strong enterprise ELT/ETL design experience
Experience with Fabric governance, RBAC, lineage, monitoring and performance optimization
Azure data ecosystem experience
Strong Azure DevOps and Git experience
Experience with transformation frameworks such as dbt
Preferred: DP-700 (Microsoft Certified: Fabric Data Engineer Associate) certification
Preferred: Power BI semantic models expertise
Preferred: Financial Services experience

Benefits

Comp & perks

Hybrid work arrangement
Accessible candidate experience, including accommodations to interview sites and alternate formats upon request
Inclusive and equal opportunity workplace