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Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
Hands-on experience with Azure Machine Learning, Databricks, and MLflow
Added 3 months ago
C
Senior Data Engineer
CarePartners
London, ON · Waterloo, ON
- Full-time
The Senior Data Engineer is responsible for the design, governance, and ongoing evolution of the organization's enterprise data environment. This role provides leadership in data…
Added 2 months ago
M
Senior Manager, Advanced Analytics
MNP
Edmonton, AB · AB · NS
- Full-time
Make an impact with MNP Digital as a Senior Manager, Advanced Analytics. You will be an integral part of the team responsible for leading and collaborating with the Business Intelligence…
Added 3 months ago
PF
Solution Architect
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Evaluating, selecting, and implementing automation and AI technologies (Azure AI, Copilot Studio, Databricks, and open-source platforms) while determining the most appropriate platform for…
Added 3 months ago
OG
Technology Consulting Lead
Onni Group of Companies
Vancouver, BC
- Full-time
Familiarity with tools such as Claude, Claude Code, Linear, Slack, Databricks, Microsoft Azure, or simil
Added 3 months ago
B
Senior Analyst, Application Integration
Brookfield
Toronto, ON
- Full-time
Experience with Snowflake, Databricks, SQL Server, ADO (Azure DevOps), Jira, Informatica & Qualytics
Added 3 months ago
B
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services…
Added 3 months ago
P
Deals Value Creation Analytics Senior Associate
PwC
Toronto, ON · Montreal, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query
Added 3 months ago
M
Senior Manager, Advanced Analytics
MNP
Ottawa, ON · Toronto, ON
- Full-time
Make an impact with MNP Digital as a Senior Manager, Advanced Analytics. You will be an integral part of the team responsible for leading and collaborating with the Business Intelligence…
Added 3 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
· Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).
Added 3 months ago
SG
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
- Full-time
Familiarity with Databricks, Azure ML, SageMaker, Vertex AI, or equivalent ML platforms
Added 3 months ago
SI
IT Architect, Architecture & Analytics – Enterprise Analytics
Saputo Inc.
Montreal, QC · Saint-Laurent, QC
- Full-time
…join our Data Engineering & Analytics team. Reporting to the Senior Director of Data Engineering & Analytics, this role will play a critical part in the design and evolution of our…
Added 3 months ago
M
Senior Data Specialist
McKesson
Mississauga, ON
- Full-time
Flex & Connect model requiring 2 days per week in office
Added 3 months ago
Senior Data Engineer
Talents LGS
Montreal, QC
As part of the growth of our Hybrid Cloud & Data practice (AI, Analytics & Data Services), we are looking for a Senior Data Engineer – Hybrid Cloud & Data to participate in the design,…
Added 3 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 3 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Added 3 months ago
BC
Director, Data, AI, & Automation Services
Bird Construction
Calgary, AB · Vancouver, BC · Mississauga, ON
- Full-time
Lead the modernization and operation of Bird's enterprise data platform, including lakehouse, Azure Databricks, semantic models, enterprise data models, metadata, data pipelines, and…
Added 4 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 4 months ago
S
Architecte en IA agentique - Intelligence Engineering / Agentic AI - Sr. Architect - Intelligence Engineering
Slalom
Montreal, Quebec
- Full-time
…réinvention de flux de travail humains sur Amazon Web Services, Azure et Google Cloud. Cela comprend l’architecture de systèmes multiagents, de flux de travail autonomes propulsés par des…
Added 4 months ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
As a Senior Architect or Architect in Intelligence Engineering, you’ll design and deliver innovative AI/ML and agentic AI solutions as part of intelligent products and automating /…
Added 3 months ago
PS
Senior Applied AI Engineer
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Comfortable across cloud platforms - we run primarily on Azure (Databricks, AKS) and Google Cloud (Vertex AI)
Added 2 months ago
P
Senior Applied Researcher AI/ML ( CAD)
PointClickCare
Canada
- Full-time
Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
Added 4 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 4 months ago
A
Senior Software Engineer, Full-stack (Distribution Center)
Afresh
Ontario
- $137,000 to $205,000 CAD / year
- Full-time
Python, PostgreSQL, GraphQL, Databricks, DBT, Terraform/OpenTofu, Azure, pair programming, test-driven development
Added 4 months ago
B
Manager, Data Engineer
Brookfield
Toronto, Ontario
- Full-time
…expertise in data engineering, particularly with platforms like Databricks and Snowflake, to spearhead the design, implementation, and optimization of our data models. The ideal candidate…

Closed listing

Vale

Senior Specialist, Data Modeler

Canada

Minimum Starting Salary: CAD $119,000 · Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: Minimum Starting Salary: CAD $119,000
Job type: Full-time
Posting language: English
Posted: Aug 20, 2026

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Original job description

Archived listing. The details below describe a past opening.

Ready to build a rewarding career in an industry that is growing?

Who We Are

We are a global mining company dedicated to safely delivering nickel, copper, cobalt, and platinum group metals essential for the world’s energy transition.

Our mission is to improve lives and shape a better future together.

From utensils to cellphones to satellites, our operations simplify daily life and enhance connectivity. Our metals are integral to life-saving medical equipment and the electric vehicles driving the fight against climate change – our work truly matters.

Join our diverse team of 15,000 talented individuals committed to transforming critical minerals into prosperity and sustainable development in countries like Canada, Brazil, Indonesia, the United Kingdom, and Japan. We invite you to use your skills with us and contribute to something meaningful and enduring.

The Opportunity

The Senior Specialist, Data Modeler (Microsoft) is responsible for designing, developing, and maintaining scalable data models, ETL pipelines, and analytics solutions using Microsoft and modern data platforms in Toronto, ON.

This role ensures that enterprise data is reliable, governed, and optimized for reporting, analytics, and AI-driven decision-making. The incumbent plays a critical role in enabling business intelligence, operational efficiency, and strategic planning by transforming complex data from multiple sources - including databases, APIs, IoT devices, and applications - into structured, high-quality datasets.

Working closely with data scientists, developers, analysts, and business stakeholders, the Senior Specialist ensures that data solutions are performant, scalable, and aligned with enterprise data governance standards.

You will report to the Manager, Data Reporting and Visualization and collaborate with cross-functional teams including Data & AI, IT, business stakeholders, and external vendors.

About You

You are a modern, hands-on data modeler and builder with deep expertise in Microsoft and Azure data platforms. You are comfortable owning the full lifecycle of data solutions - from raw data ingestion to transformation, modeling, and delivery into semantic layers and reporting tools.

You bring strong technical proficiency in SQL Server, Azure Data Factory, Databricks, and ETL frameworks, with proven experience building end-to-end pipelines, scalable data models, and Power BI semantic layers.

You thrive in a fast-paced, evolving environment where you can design and implement solutions - not just define them. You are equally comfortable working with engineers, data scientists, analysts, and business stakeholders to translate requirements into performant, governed, and scalable data solutions.

You are passionate about enabling self-service analytics, AI/ML readiness, and high-quality data products.

Data Engineering, ETL & Platforms

Build robust ETL/ELT pipelines using:

Azure Data Factory
Databricks
SQL-based frameworks
Ingest data from diverse sources (databases, APIs, files, applications, IoT, etc.)
Transform and curate data into trusted, high-quality datasets
Optimize pipelines for scale, reliability, and performance
Automate workflows and reduce operational overhead
Work within Azure environments (resource groups, storage, compute, services)

Reporting, Semantic Modeling & BI

Design and develop Power BI semantic models for enterprise reporting and self-service analytics
Build and optimize dashboards, reports, and visualizations
Ensure consistency, accuracy, and performance of reporting datasets
Enable business users through governed and performant semantic layers
Partner with stakeholders to translate business needs into actionable insights

Advanced Analytics & AI Enablement

Prepare and structure data for AI/ML and advanced analytics use cases

Collaborate with Data Scientists and Data Engineers on model-ready datasets
Support use cases such as predictive analytics, anomaly detection, and optimization
Ensure data pipelines and models are AI-ready and scalable

Stakeholder & Governance Leadership

Act as a trusted advisor on data modeling, platforms, and best practice
Collaborate with cross-functional teams, including IT, Data & AI, and business stakeholders
Guide power users in self-service analytics and governance best practices
Ensure compliance with data governance, privacy, and security policies
Evaluate vendor solutions and support implementation and delivery

Documentation & Continuous Improvement

Maintain clear documentation of data models, pipelines, and architecture
Support knowledge sharing, training, and adoption
Contribute to data platform maturity and continuous improvement initiatives

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, or related field

Certifications (Preferred)

Microsoft Azure Certifications
Azure Data Factory / Databricks Certifications
Data Engineering / Data Modeling Certifications
Power BI / Data Visualization Certifications
AI / Machine Learning Certifications
Certified Data Management Professional (DAMA)

Experience

8–10+ years in data modeling, data engineering, or analytics

Strong hands-on experience with:
SQL Server
Azure Data Factory
Databricks
Power BI
ETL/ELT frameworks
Proven experience building end-to-end data pipelines, models, and semantic layers
Experience working within Azure environments (compute, storage, services)
Experience supporting BI, analytics, and AI/ML use cases
Strong experience working in complex, multi-stakeholder environments

Skills

Advanced data modeling and data engineering expertise
Strong SQL and data transformation skills (Python preferred)
Deep understanding of Azure data architecture and cloud platforms
Experience with Power BI semantic modeling and visualization
Knowledge of data governance, data quality, and security practices
Ability to design scalable, high-performance data solutions
Strong problem-solving and analytical thinking
Excellent communication and stakeholder engagement skills
Ability to work in agile, fast-paced environments

What We Offer You

Competitive compensation including a variable annual incentive plan
Participation in a competitive Defined Contribution Pension package
Comprehensive benefits package (company paid core coverage, health and dental coverage, flex accounts, disability plans, and optional insurances)
Leave for all of life’s reasons (vacation, personal, sick, parental)
Work culture dedicated to safety, diversity & inclusion, and career growth
Employee Family Assistance Program
Virtual Healthcare online
Online training and career development opportunities

Why Toronto

Toronto, Canada’s largest city and financial hub, is a center of innovation, commerce, and culture. Known for its diverse economy and vibrant urban environment, Toronto offers unparalleled access to talent, technology, and global connectivity.

Our Toronto office serves as a strategic hub for corporate functions, technology development, and business operations. Here, we drive initiatives that support Vale Base Metals’ global operations, leveraging advanced analytics, digital transformation, and strategic planning to ensure operational excellence across all regions.

Toronto’s dynamic ecosystem enables collaboration with leading technology partners, universities, and research institutions, fostering innovation in mining and metals processing. This location is integral to shaping the future of sustainable mining and advancing our commitment to responsible resource development.

Include to Transform

At Vale Base Metals, we are committed to ensuring an inclusive work environment where people feel comfortable to be themselves. Vale encourages everyone to express their ideas and opinions and values the plurality of individual profiles. We want our people to feel that all.

We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are critical to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation, or any other personal consideration that makes us different.

Vale is an equal opportunity employer seeking to increase diversity across our operations and improve equal opportunity at Vale and in the mining industry.

Accommodation is available throughout our recruitment process for applicants with disabilities.

Vale uses artificial intelligence to screen, assess, and/or select applicants for this position.

Pay Grade: F2T

Minimum Starting Salary: CAD $119,000

Apply by: Friday, Jul 17, 2026

#ValeBaseMetals

About employer

More about this job

Responsibilities

The Senior Specialist is responsible for designing, developing, and maintaining scalable data models, ETL pipelines, and analytics solutions using Microsoft and Azure platforms. They will collaborate with cross-functional teams to ensure data is reliable, governed, and optimized for reporting and AI-driven decision-making.

Requirements

Candidates must have 8-10+ years of experience in data modeling, engineering, or analytics with deep expertise in Azure, SQL Server, and Databricks. A bachelor's degree in a relevant field is required, along with strong proficiency in building end-to-end data pipelines and semantic layers.

Skills

Data modeling
Azure data factory
Databricks
SQL server
Power BI
ETL pipelines
Data governance
Python
Data architecture
Cloud platforms
Semantic modeling
Data visualization
Predictive analytics
Stakeholder engagement
Problem-solving
Agile methodology

Benefits

Health coverage
Dental coverage
Flex accounts
Disability plans
Optional insurances
Vacation leave
Personal leave
Sick leave
Parental leave
Employee family assistance program
Virtual healthcare
Online training
Career development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Modeler
Azure
Microsoft
SQL Server
Azure Data Factory
Databricks
Power BI
ETL
ELT
Data Governance
Python
AI
Machine Learning
Data Engineering
Semantic Modeling
IoT
APIs
Cloud Computing
Data Quality
Predictive Analytics
Anomaly Detection
Agile
DAMA
Data Management
Mining
Business Intelligence
Data Pipelines
Analytics
Reporting
Digital Transformation

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Jobs in Canada