Company Overview

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Company Overview

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.

Position Description

This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data structures and engineering Azure-based data products that are reliable, scalable, and analytics-ready. The role owns the full lifecycle of data products from translating business concepts into well-defined data models, to engineering pipelines that deliver curated, reusable, and trusted data products for analytics, reporting, and downstream integration.

The ideal candidate is equally strong in data design, pipeline engineering, and product thinking,



with a focus on delivering high-quality data as a product to consumers across the organization.

Partner with business stakeholders and analytics teams to define data products that align to business domains, use cases, and outcomes

Translate business requirements into well-defined data entities, relationships, and metrics, and engineer data products that implement those models end to end

Design and maintain conceptual, logical, and physical data models that underpin scalable and reusable data products

Build and optimize batch and near-real-time data pipelines in Azure using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake, and Azure SQL

Engineer curated, analytics-ready data products optimized for BI, reporting, APIs, and OLAP consumption (e.g., Power BI)

Create, manage, and evolve data models using ERwin or PowerDesigner, ensuring consistency and alignment across data products

Define and maintain data product metadata, including data definitions, lineage, ownership, and quality expectations

Perform reverse engineering and model reconciliation to align existing datasets and pipelines with logical models and product intent

Apply CI/CD and DevOps practices to data pipelines, schemas, and data products using Azure DevOps, GitHub, or Jenkins

Collaborate closely with engineers, architects, analysts, and product teams to ensure data products are discoverable, trusted, and well understood

Identify opportunities to standardize, reuse, and evolve data products across domains and initiatives

Mentor team members and contribute to enterprise standards for data modeling, engineering, and data product delivery





Workplace

Hybrid ( 2 days in office) role in downtown Toronto. Open to those interest in FT employment as well as Contractors (initial 6 mos contract with strong potential for extension)

Must Have Skills

Bachelor’s degree in Computer Science, Information Systems, or a related field

8+ years of experience spanning data engineering and data modeling

Robust hands-on experience with Databricks on Microsoft Azure or AWS

Proven expertise with Erwin and/or PowerDesigner

Solid understanding of data warehousing, dimensional modeling, and analytics design patterns

Experience delivering data using data product-oriented approaches (curated layers, semantic models, governed datasets)

Experience implementing CI/CD and DevOps for data platforms

Strong communication skills with the ability to clearly articulate data product design and usage to technical and non-technical audiences

Professional Skills

Strong team and individual player

Maintains composure during all types of situations and is collaborative by nature

High standards of professionalism, consistently producing high quality results

Self-sufficient, independent requiring very little supervision or intervention

Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply

Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $125,000 - $140,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.

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📌 Senior Data Engineer (Winnipeg)
🏢 Bridgenext
📍 Winnipeg