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Added 40 mins ago
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Full-time
Added 40 mins ago
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Pomerleau

Senior Data Engineer

Montreal, QC, Canada

Posting language: English
Posted: Sep 28, 2026

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Original job description

Job Description

Ready to build your career? We want to hear from you.

We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting from source systems, transforming data into clean and canonical layers, and delivering the reliable, reusable data assets our analysts and BI developers depend on. This is a hands-on, delivery-focused role for someone who enjoys bringing structure and standards to a data practice that is ramping up.

What you will do

Design, build, and maintain scalable pipelines and data models across the bronze, silver, and gold layers, used by our BI, AI, and analytics teams.
Provide the cleaned and transformed data and curated tables that analysts and BI developers use to build their semantic models and dashboards.
Engineer source data once into canonical objects that downstream teams reuse, eliminating duplicated per-project loads.
Develop and deploy Fabric artifacts (lakehouses, warehouses, notebooks, pipelines, semantic models) across dev, UAT, and prod using Azure DevOps and Git.
Maintain legacy Azure Synapse pipelines and lead their migration to Fabric.
Apply pragmatic engineering standards for ingestion, transformation, naming, versioning, and documentation, and monitor pipelines for quality, performance, and reliability.
Populate technical metadata and lineage in the data catalog in line with our governance standards.

This role could be for you if you have

Senior-level data engineering experience with a strong generalist mindset, comfortable working across heterogeneous systems and evolving environments.
Hands-on expertise with Microsoft Fabric (lakehouses, warehouses, notebooks, pipelines, semantic models) and the medallion architecture.
Strong proficiency with Azure DevOps and Git for source control and deployment pipelines.
Solid SQL and data transformation skills (data cleaning, incremental/delta loads, curated table design).
A good working understanding of downstream analytics, including semantic models and dashboards in Fabric, since you will partner closely with our analytics and BI developers.
A practical, flexible approach: you choose the solution that fits the problem, and you bring organization and structure to a data practice that is ramping up.

Nice to have

Experience with Azure Synapse for maintaining legacy pipelines and supporting migration.
Experience with data governance and Microsoft Purview (classification, lineage, cataloguing).
Background in construction or construction software.
Experience with dbt, and to a lesser extent orchestration tools such as Airflow or Dagster.

Benefits

RRSP with up to 5% employer matching
Hybrid work model for corporate roles
Employee stock ownership program
Career growth through real development opportunities
Transit pass reimbursement - get to work for free
Minimum 4 weeks of vacation from day one

For the past six years, we've proudly held the distinction of being one of Canada's Top 100 Employers.

Pomerleau is a national leader in construction, delivering major projects across Canada. We believe in creating a workplace where people feel respected, supported, and empowered to grow. Our culture is built on collaboration, trust, and a shared commitment to doing great work. If this speaks to you, apply for this role or connect with one of our recruiters to learn how we can support you throughout the process.

General Information

Job Location

Montreal, QC

Date Published

28-Sep-2026

Department

Innovation & Systems

Employment Type

Permanent

Working Arrangement

Hybrid

Role Type

Full-Time

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More about this job

Responsibilities

You will design, build, and maintain scalable data pipelines and models across bronze, silver, and gold layers to support BI and AI initiatives. Additionally, you will manage the migration of legacy Azure Synapse pipelines to Microsoft Fabric while ensuring data quality and governance standards.

Requirements

The role requires senior-level data engineering experience with hands-on expertise in Microsoft Fabric and the medallion architecture. Candidates must also possess strong proficiency in SQL, Azure DevOps, and Git, along with a practical approach to building reliable data assets.

Skills

Microsoft Fabric
Azure Synapse
Azure DevOps
Git
SQL
Data Engineering
Data Modeling
Medallion Architecture
Data Transformation
Data Governance
Microsoft Purview
Pipeline Development
Data Cataloging
Business Intelligence
Analytics

Benefits

RRSP with up to 5% employer matching
Hybrid work model
Employee stock ownership program
Career growth opportunities
Transit pass reimbursement
Minimum 4 weeks of vacation

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Microsoft Fabric
Azure Synapse
Medallion Architecture
Azure DevOps
Git
SQL
Data Modeling
Data Pipelines
Business Intelligence
Artificial Intelligence
Data Governance
Microsoft Purview
Data Catalog
Data Lineage
Construction
Dbt
Airflow
Dagster
Semantic Models
Lakehouse
Warehouse
Data Transformation
Cloud Engineering

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