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Pomerleau

Analytics Engineer

Montreal, QC, Canada

Experience: Minimum 7 years of experience in data modelling and data analysis.
Posting language: English
Posted: Sep 21, 2026

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Original job description

Job Description

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

This role is about understanding a business domain, documenting the objects and definitions it works with, and turning that understanding into usable data models. The person works directly with the domain owners, maps their business ontology, designs the data model and the data products, and documents definitions and calculation rules so they can be reused.

What you will do

Understand a business domain: its mission, processes, source systems and what it measures.
Map the domain ontology: business objects, their definitions, their relationships and their system of record.
Document definitions, measures and calculation rules, and have them validated by the domain owners.
Design the dimensional data model (facts, dimensions, granularity, keys) and the semantic model used for consumption.
Map business objects to source tables and specify the transformation logic required.
Work with data engineering to have the required layers built, and validate the result.
Produce data product documentation: what it contains, how calculations work, how it is consumed.
Contribute to data governance: data ownership and accountability, classification, catalogue, naming conventions and change management.
Validate the model with the domain by testing its real requests against the model elements.
Produce the reports and visualisations needed to validate and activate the model.

This role could be for you if you have

Bachelor's degree in computer science, business intelligence, data analytics, management, engineering or a related field.
Minimum 7 years of experience in data modelling and data analysis.
Demonstrated command of dimensional modelling: star schemas, granularity, conformed dimensions, history management.
Experience designing semantic models for business users, including measures and documentation.
Strong SQL and a working understanding of data ingestion and transformation.
Hands-on experience with Microsoft Fabric.
Ability to run discovery sessions with business teams and turn them into structured requirements.
Documentation discipline: able to write clear, unambiguous definitions and maintain them over time.
Strong communication skills and the ability to explain analytical concepts in plain language.
Initiative: challenge requests where needed, identify improvement opportunities and propose solutions beyond the stated need.
Ability to manage several topics simultaneously and work autonomously.

Assets

Experience in dashboard development and data visualisation (Power BI).
Command of Python, Spark and the wider data engineering tooling.
Experience working in a domain-oriented model, where each business domain is accountable for its own data.
Data governance experience: catalogue, classification, access management and change management.
Experience with enterprise financial or operational systems.
Experience in the construction or manufacturing sectors.

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

21-Sep-2026

Department

Innovation & Systems

Employment Type

Permanent

Working Arrangement

Hybrid

Role Type

Full-Time

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More about this job

Responsibilities

The Analytics Engineer will map business domain ontologies and design dimensional data models to support business needs. They will also document calculation rules, validate models with domain owners, and collaborate with data engineering teams to build robust data products.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least 7 years of experience in data modelling and analysis. Proficiency in SQL, dimensional modelling, and experience with Microsoft Fabric are essential requirements for this role.

Skills

Data modelling
Data analysis
Dimensional modelling
SQL
Microsoft Fabric
Data ingestion
Data transformation
Semantic modelling
Data governance
Documentation
Communication skills
Power BI
Python
Spark
Data engineering
Change management

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

Analytics Engineer
Data Modelling
Dimensional Modelling
Star Schemas
SQL
Microsoft Fabric
Data Governance
Semantic Model
Power BI
Python
Spark
Data Engineering
Business Intelligence
Data Analytics
Construction
Manufacturing
Ontology
Data Products
Change Management
Granularity
Conformed Dimensions
History Management
System of Record
Data Ingestion
Transformation Logic
Dashboard Development
Data Visualisation
Enterprise Systems
Financial Systems
Operational Systems

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