Senior Data Engineer – 6 month contract

Central 1

Senior Data Engineer at Central 1 designing and optimizing cloud-based data solutions and pipelines. Collaborating with stakeholders to support data-driven decisions and regulatory compliance.

Posted 7/23/2026contractVancouver • 🇨🇦 CanadaSenior💰 CA$80 - CA$95 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines using Microsoft Fabric and Azure Data Factory, with a strong 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 FabricAzure Data Factory (ADF)SQLPython/PySparkCI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignETL/ELT ConceptsData TransformationData Processing WorkflowsData Quality StandardsMonitoring SolutionsIncident ManagementChange ManagementData GovernanceData Security Compliance

Soft Skills

CollaborationProblem-SolvingDocumentation

Tools & Technologies

Azure DevOpsConfluenceJiraAzure Storage ServicesGit

Industry Keywords

Data EngineeringFinancial Systems IntegrationSensitive Data HandlingRegulatory StandardsITIL Processes

Tech Stack

Tools & technologies

AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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
Strong proficiency in Azure Data Factory (ADF), Microsoft Fabric, SQL, and Azure Storage services
Proficiency in SQL and Python\PySpark 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

Benefits

Comp & perks

Comprehensive compensation structure
Individual and company-wide annual incentive
Matched contributions for retirement plan
Top-notch benefits plan
Work-life flexibility
Career development opportunities
Day off to volunteer in the community