Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
6-month contract (hybrid, Vancouver) for a Senior Data Engineer / Microsoft Fabric SME at Central 1 Credit Union, building enterprise-scale data platforms using OneLake, Fabric Lakehouse and Data Warehouse, Data Factory, SQL, dbt and PySpark, plus Power BI integrations and CI/CD via Azure DevOps.
- Compensation
- CA$85–CA$100 / hr
- Location
- Vancouver, Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Nice to have
- DP-700 (Microsoft Certified: Fabric Data Engineer Associate) certification
- Power BI semantic models expertise
- Financial Services experience
Full description
Central 1 cooperatively empowers credit unions and other financial institutions to deliver banking choice to Canadians. Central 1 provides critical services at scale to enable a thriving credit union system. We do this by collaborating with our clients, developing strategies, products and services to support the financial well-being of their more than 5 million diverse customers in communities across Canada. For more information, visit www.central1.com.
Job Summary
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data platforms within the Microsoft Fabric ecosystem. This role will drive Microsoft Fabric adoption leveraging OneLake, Lakehouse, Data Warehouse, Data Factory and Power BI technologies.
Responsibilities
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, working closely with the Architecture team to ensure alignment with architectural standards and platform best practices.
Develop and optimize ELT/ETL pipelines using SQL, dbt, PySpark, Spark Notebooks and Fabric Data Pipelines.
Collaborate closely 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
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 Qualifications
DP-700 (Microsoft Certified: Fabric Data Engineer Associate) Fabric certification.
Power BI semantic models expertise.