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Added 8 mins ago
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MatchBox Consulting Group is currently seeking a Senior Data Engineer for a 6 month contract role with a client of ours located in Vancouver.
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MatchBox Consulting Group

Senior Data Engineer

Vancouver, BC, Canada

Job type: Contract
Apply by: Oct 22, 2026
Experience: 5-8+ years of experience in data engineering, with expertise in cloud-based data platforms, preferably Azure
Posting language: English
Posted: Sep 22, 2026

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Original job description

MatchBox Consulting Group is currently seeking a Senior Data Engineer for a 6 month contract role with a client of ours located in Vancouver.

Responsibilities

Designing and implementing scalable data architectures and data products using Azure, Databricks, Delta Lake, and PySpark
Building enterprise-level common entities and reusable datasets that serve multiple business domains
Developing and optimizing ETL/ELT frameworks that support operational and analytical workloads
Leading initiatives that improve data quality, data observability, and trust in enterprise datasets
Supporting implementation of DCE's Data Quality Framework through automated validation, monitoring, and alerting
Establishing metadata, lineage, and governance standards that improve discoverability and self-service adoption
Collaborating with Product Managers and business stakeholders to prioritize and deliver high-value data capabilities
Partnering with Platform, Architecture, Security, and Governance teams to ensure scalable and secure solutions
Mentoring junior engineers through code reviews, technical design sessions, and hands-on coaching
Leading cross-functional design reviews and contributing to technical roadmap planning
Defining CI/CD best practices, infrastructure automation, testing standards, and deployment processes
Exploring emerging technologies and opportunities to improve data delivery, automation, and analytics enablement

Requirements

5-8+ years of experience in data engineering, with expertise in cloud-based data platforms, preferably Azure
Advanced SQL and Python skills, with hands-on experience developing scalable data pipelines and data models
Strong experience with Databricks, Spark/PySpark, Delta Lake, and modern data engineering practices
Experience building and maintaining enterprise data products and reusable data assets
Implemented data quality controls, monitoring frameworks, and observability solutions
Solid experience with CI/CD, source control, testing methodologies, and infrastructure automation
Strong understanding of data modeling, dimensional design, and enterprise data architecture principles
Experience collaborating with business stakeholders and translating business needs into technical solutions
Experience mentoring engineers and contributing to technical leadership within a team
Curious, collaborative, and passionate about enabling data-driven decision-making at scale

Nice To Have

Experience with Microsoft Purview or similar metadata and governance platforms
Experience implementing data quality, data contracts, or data observability frameworks
Experience supporting self-service analytics enablement initiatives
Experience working in retail, supply chain, e-commerce, or consumer products organizations
Experience with AI/ML data pipelines or advanced analytics platforms

For more current job opportunities, Follow MatchBox at linkedin.com/company/matchbox-recruitment/

_________________________

About MatchBox

Headquartered in downtown Vancouver and serving clients nationally, MatchBox is one of the leading recruitment and solutions firms that specializes in the fields of IT & Technology, Engineering & Technical, Real Estate & Construction, and Accounting & Finance. We offer unrivaled expertise with our team's extensive experience in the recruitment and professional services industry. We are dedicated to building great connections and creating strong opportunities within the workforce and the labor market.

Equal Opportunities

MatchBox is committed to providing equal opportunities for all applicants. We welcome and encourage applications from people of all backgrounds, including members of minority groups such as racialized individuals, people with disabilities, LGBTQ+ individuals, and Indigenous peoples. It is a priority for us that all candidates are treated fairly and without discrimination. Our recruitment teams receive ongoing training on using objective criteria for evaluating candidates and other related topics to create an inclusive and welcoming environment for all.

Work Permits

Please note that we require all interested candidates to obtain the necessary work permits from the Government of Canada prior to submitting an application. This position is open exclusively to individuals residing in Canada and legally authorized to work in Canada. Applications not meeting these criteria will not be considered.

Further Consideration

We receive a high volume of applications and are only able to contact candidates who are selected for further consideration.

Find out more at www.matchboxhr.com

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More about this job

Responsibilities

Design and implement scalable data architectures and products using Azure, Databricks, and PySpark. Lead initiatives to improve data quality, governance, and metadata standards while mentoring junior engineers.

Requirements

Requires 5-8+ years of experience in data engineering with expertise in cloud-based platforms like Azure. Candidates must possess advanced SQL and Python skills along with strong experience in Databricks and modern data engineering practices.

Skills

Azure
Databricks
Delta Lake
PySpark
SQL
Python
ETL/ELT
Data Architecture
Data Quality
Data Observability
CI/CD
Infrastructure Automation
Data Modeling
Governance
Metadata Management

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure
Databricks
Delta Lake
PySpark
SQL
Python
ETL
ELT
Data Architecture
Data Quality
Data Observability
Metadata
Governance
CI/CD
Infrastructure Automation
Data Modeling
Dimensional Design
Cloud Computing
Data Pipelines
Microsoft Purview
Data Contracts
Self-service Analytics
Technical Leadership
Mentoring

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