Design, develop, and maintain data pipelines using Microsoft Fabric and Azure Data Factory (ADF)
Ensure data security and compliance by implementing best practices
Collaborate with data governance stakeholders to enforce data quality standards
Design and implement monitoring solutions using Azure-native services
Deliver data solutions in alignment with approved architecture
Collaborate cross-functionally with Data Architects, Business Stakeholders, and data teams
Develop, configure, and maintain CI/CD pipelines using Azure DevOps
Produce and maintain comprehensive documentation in Confluence
Ensure adherence to ITIL-based processes for incident and change management
Proactively drive operational excellence by identifying recurring issues
Conduct peer code reviews through pull requests
Deliver against project commitments
Requirements Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
6+ years of experience in data engineering roles
Hands-on experience in Microsoft Fabric and Azure data technologies
Robust proficiency in Azure Data Factory (ADF), Microsoft Fabric, SQL, and Azure Storage services
Proficiency in SQL and PythonPySpark for developing data transformation and processing workflows
Strong understanding of ETL/ELT concepts, data pipeline design, and orchestration patterns
Experience integrating financial systems and handling sensitive data (e.g., PII)



in compliance with regulatory and security standards
Experience with collaboration and delivery tools such as Jira, Confluence, and Azure DevOps
Strong proficiency with Git and Azure DevOps, including repository management, branching strategies, pull requests, peer reviews, merge conflict resolution, release management, and CI/CD deployment practices supporting enterprise data engineering solutions
Core Competencies Demonstrates expertise in designing and maintaining data pipelines using Microsoft Fabric and Azure Data Factory, with a solid focus on data security, compliance, and operational excellence. Proficient in SQL, Python, and CI/CD practices to deliver high-quality data solutions aligned with architectural standards.
Highest-signal resume keywords Microsoft Fabric
Azure Data Factory (ADF)
SQL
Python/PySpark
CI/CD Pipelines
ATS Optimization Keywords Hard Skills Data Pipeline Design
ETL/ELT Concepts
Data Transformation
Data Processing Workflows
Data Quality Standards
Monitoring Solutions
Incident Management
Change Management
Data Governance
Data Security Compliance
Soft Skills Collaboration
Problem-Solving
Documentation
Industry Keywords Data Engineering
Financial Systems Integration
Sensitive Data Handling
Regulatory Standards
ITIL Processes
Tools & Technologies Azure DevOps
Confluence
Jira
Azure Storage Services
Git

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📌 Senior Data Engineer – 6 month contract (British Columbia)
🏢 Jobtailor
📍 British Columbia