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$82k – $108k per year
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In office (Vancouver)
Employment
Contractor

First seen by Alion on Oct 16, 2026.

Overview
Company
Impact
Profile match
Randstad Canada is a leading workforce solutions and talent acquisition company, operating as the Canadian subsidiary of the Dutch multinational human resources consulting firm Randstad N.V. Headquartered in Toronto, Ontario, the organization provides comprehensive staffing, temporary labor, direct hiring, and executive recruitment services across key disciplines including information technology, engineering, finance and accounting, and industrial logistics. By combining advanced digital HR tools with nationwide branch operations, it delivers tailored human resource consulting, managed services, and workforce management to Canadian enterprises of all sizes.
Our client, is seeking an experienced, highly technical Data Engineer to join their MarTech and Brand Technology engineering group.

In this hands-on engineering role, you will play a key part in designing, building, modernizing, and maintaining production data pipelines within an enterprise cloud data ecosystem. Working in a full DevOps model, you will leverage Azure, Azure Databricks, Snowflake, and Delta Live Tables (DLT) to construct scalable pipelines, manage Medallion Architecture layers (Bronze, Silver, Gold), enforce Unity Catalog governance, and publish secure data views. You will partner with cross-functional engineering teams to automate CI/CD deployments, enforce PII data security standards, optimize platform performance, and participate in production monitoring and support rotations.

Duration: 12-Month Contract (Full 1-Year Engagement)



Advantages
Enterprise Modernization Scope: Drive high-visibility data pipeline modernization using Databricks Delta Live Tables, Unity Catalog, and modern cloud storage.

Full 12-Month Contract Stability: Secure a full 1-year consulting engagement within a top-tier global enterprise technology organization.

Modern Cloud Data Ecosystem: Work extensively across leading data platforms, including Azure Databricks, Snowflake, Azure Data Factory, and dbt.

Collaborative Engineering Culture: Join a supportive, growth-oriented engineering community practicing full end-to-end DevOps ownership.



Responsibilities
Pipeline Engineering & Modernization: Design, build, and maintain enterprise data pipelines on Azure, Azure Databricks, and Snowflake, leveraging Delta Live Tables (DLT) and Medallion Architecture principles.

Data Publishing & Security: Create secure data views and publish curated datasets to the Enterprise Data Exchange via Snowflake while enforcing strict PII encryption and masking standards.

Data Governance & Cataloging: Implement data governance, lineage, and access controls using Databricks Unity Catalog.

DevOps & CI/CD Operations: Utilize Azure DevOps and Repos for automated CI/CD pipeline deployments; write and manage Infrastructure as Code (Terraform / ARM templates).

Production Support & Monitoring: Participate in production release cadences, system monitoring, incident triage, and on-call escalation rotations to ensure platform stability.

Agile Alignment & Knowledge Sharing: Participate in Agile ceremonies, maintain comprehensive technical documentation, and mentor peer engineers within the Community of Practice.



Qualifications
Data Engineering Experience: 5+ years of dedicated professional experience in data engineering and cloud data platform delivery.

Core Platform Mastery: Proven hands-on experience with Azure Data Factory, Azure Databricks, Snowflake, and Azure Storage Accounts.

Modern Architecture & Transformation: Demonstrated experience working with dbt, Delta Live Tables (DLT), and Medallion Architecture patterns.

CI/CD & Infrastructure as Code: Strong understanding of CI/CD principles using Azure DevOps, with experience or exposure to Terraform or ARM templates.

DevOps & Operations Mindset: Experience supporting production deployments, system outages, incident escalations, and operational monitoring.

Agile & Work Management: Hands-on experience utilizing task and bug-tracking systems such as Jira in an Agile environment.

Education: Bachelor’s degree or diploma in Computer Science, Software Engineering, Software Architecture, or equivalent practical industry experience.

Preferred Assets & Nice-to-Haves
Active Microsoft Azure Certifications (e.g., Azure Data Engineer Associate / DP-203).



Summary
If you are a tech-savvy Data Engineer who pairs 5+ years of enterprise experience with deep Azure Databricks, Snowflake, Delta Live Tables, and full DevOps pipeline delivery skills, this 12-month contract opportunity is an ideal next step. Bring your pipeline engineering precision, cloud architecture mastery, and collaborative drive to our client's team today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.
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