Jobs in Canada

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Added 1 month ago
WT
DATA MANAGEMENT ARCHITECT
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
- Full-time
The Data Management Architect is the technical lead behind WBM's growing Data Management Services practice. You'll work with clients to design secure, scalable data solutions using…
Added 1 month ago
SI
IT Architect, Architecture & Analytics – Enterprise Analytics
Saputo Inc.
Mississauga, ON
- Full-time
Lead and participate in formal architecture reviews for analytics and data solutions, ensuring alignment to enterprise architecture standards, security requirements, and governance models.
Added 1 month ago
C
Specialist Software Cloud Developer
CPKC
Calgary, AB
- Full-time
…requires an experienced hands-on full-stack cloud and data developer who can lead technical initiatives in collaboration with other developers, solution architects, business analysts, and…
Added 1 month ago
Lead SQL Developer
Aylo Careers
Montreal, QC
Our Data Warehouse Team is looking for a Lead SQL Developer to contribute to the evolution of our enterprise data platform within the Data Warehouse Services team. This role combines…
Added 1 month ago
M
Senior Data Scientist
Moneris
Toronto, ON
- Full-time
As the Senior Data Scientist, you will lead impactful data science initiatives that move strategic decision-making and product innovation. You will focus on developing and deploying…
Added 1 month ago
B
AI Software Senior Analyst
Bombardier
Pointe-Claire, QC
- Full-time
Act as the subject matter expert for Methods applications and AI-enabled tools, maintaining a clear view of the organization’s technology landscape.
Added 1 month ago
TC
Lead Developer, Research & Development
The Citco Group Limited
Toronto, ON
- Full-time
The Lead Developer within the Transformation Office's R&D team will provide technical leadership for AI-enabled solutions supporting a strategic Fund Services transformation program using…
Added 1 month ago
GT
Databricks Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $95 CAD / hour
- Contract
This role sits within the Global Asset Management Technology line of business, which supports institutional execution - the process by which asset managers carry out large-scale investment…
Added 1 month ago
BB
Sr. Analyst, Client Analytics
Bond Brand Loyalty
Toronto, ON
- $77,600 to $98,200 CAD / year
We build customized loyalty marketing and human experience solutions for our clients, enabled by technology and data insights. The Client Analytics team at Bond is responsible for the ‘last…
Added 1 month ago
M
Specialist - Architecture
Maarut
Toronto, ON
- Full-time
Lead the architecture, design, and implementation of
Added 1 month ago
TA
Sr. Manager/AD - Retail Business Consultant -Supply Chain Analytics (CPG/Retail)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Lead and manage offshore teams delivering supply chain analytics and data migration initiatives
Added 1 month ago
L
Specialist - Architecture
LTM
ON · Ontario, Canada
- $120,000 to $140,000 CAD / year
- Full-time
Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.
Added 1 month ago
R
Data Scientist
Raise
Calgary, AB
- Full-time
Design, build, test, and optimize scalable data models and ETL/ELT pipelines within Databricks using Python, PySpark, SQL, notebooks, workflows, and orchestration frameworks to support…
Added 2 months ago
AP
Associate Director - Decision Science
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
That’s why we work, on average, a minimum of three days per week from the office
Added 2 months ago
O
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Write production‑grade SQL and Python/PySpark code; optimise query performance, partition strategies, and warehouse sizing for cost and speed.
Added 2 months ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
investigations, and design solutions that are scalable, reliable, and aligned to both business and technology
Added 2 months ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
The position will lead the evolution of Mother Parkers' Microsoft Fabric ecosystem, establish enterprise architecture standards, drive modernization initiatives, and mentor technical…
Added 2 months ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Design, build, and implement scalable data pipelines using Microsoft Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest,…
Added 2 months ago
D
Manager - Data Engineering (Microsoft Fabric Platform)
Deloitte
Toronto, ON
- Full-time
Lead end-to-end design and implementation of Microsoft Fabric-based data platforms (Lakehouse, Warehouse, OneLake).
Added 2 months ago
AC
Product Engineering (Fabric Data Engineering)
Allstate Canada
Toronto, ON
- Full-time
Troubleshoot production pipeline, data-quality, semantic model, and report-performance issues; lead root-cause analysis and coordinate remediation with platform, analytics, business, and…
Added 2 months ago
P
Lead Data Consultant, Manager
PwC
Ottawa, ON · Toronto, ON
- Full-time
…contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and…
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 2 months ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
Lead end-to-end performance diagnostics across customer, product, and advisor dimensions to identify growth, efficiency, and primacy opportunities.
Added 2 months ago
FC
Business Intelligence Developer III
First Canadian Financial Group
Sherwood Park, AB
- Full-time
The Business Intelligence Developer III is a senior technical expert responsible for designing, developing, and optimizing data intelligence solutions that support strategic decision-making…
Added 3 months ago
C
Senior Azure Database Migration Specialist
CGI
Toronto, ON
- Full-time
We are seeking a highly experienced Senior Azure Database Migration Engineer to lead enterprise-scale database modernization initiatives focused on migrating Oracle databases to PostgreSQL…

Allstate Canada

Product Engineering (Fabric Data Engineering)

Toronto, ON, Canada

Expected compensation for this role ranges from $ 80,900 - 120,000 annually. · Full-time

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Job details

Pay: Expected compensation for this role ranges from $ 80,900 - 120,000 annually.
Job type: Full-time
Posting language: English
Posted: Aug 26, 2026

Original job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Who is Allstate:

Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. Serving Canadians since 1953, Allstate strives to reassure both customers and employees with its “You’re in Good Hands®” promise and is proud to have been named a Best Employer in Canada for nine consecutive years. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. To learn more, visit www.allstate.ca. For safety tips and advice, visit www.goodhandsadvice.ca.

Through our Employee Value Proposition, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do.

Role Designation: Hybrid

Benefits To Joining Allstate

Flexible Work Arrangements.
Employee discounts (15% on auto and property insurance, plus many other products and services).
Good Office program (receive up to $400 back after purchasing office equipment).
Student Loan Payment Matching Program for Government Student loans.
Comprehensive Retirement Savings Program with employer matched contributions.
Annual Wellness allowance to support employees with improving health and wellbeing.
Personal days.
Tuition Reimbursement.
Working within the community and giving back.

Job description:

The Product Engineering (Fabric Data Engineering) role combines platform engineering, data engineering, dimensional modeling, Gold-layer delivery, and AI-augmented analytics enablement within Microsoft Fabric. This role is accountable for designing and operating the team’s Fabric workspace, OneLake/Lakehouse architecture, CI/CD release process, Bronze ingestion patterns, Silver/Gold transformation pipelines, Delta table performance strategy, security model, and observability framework. The role also owns the end-to-end data product lifecycle from raw ingestion through trusted dimensional models and Power BI semantic models, ensuring Auto and Property insurance data is accurate, reusable, performant, governed, and ready for business self-service, regulatory reporting, Copilot-assisted analytics, and downstream application/API consumption.

Accountabilities:

Design /Code and own the Microsoft Fabric workspace, OneLake, Lakehouse, and Warehouse architecture, including Bronze-layer ingestion patterns for policy, claims, billing, and third-party vendor data feeds.
Establish and enforce Fabric data build standards, governance practices, reusable engineering patterns, naming conventions, and code-review expectations across the delivery team.
Build and maintain Azure DevOps CI/CD pipelines across development, test, and production environments, including approval gates, service principal management, deployment parameterization, and repeatable release processes.
Design, build, and optimize Silver-layer cleansing, deduplication, conformance, and reconciliation logic to create trusted, audit-ready datasets for downstream analytics.
Design and maintain Gold-layer dimensional models, star schemas, Slowly Changing Dimension Type 2 history tracking, incremental load patterns, and business-ready marts using Kimball and analytics-engineering principles.
Implement automated data-quality controls, including row-count validation, measure reconciliation, SCD2 integrity checks, lineage validation, and exception reporting.
Optimize Delta tables and Fabric workloads using techniques such as OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, and Spark resource tuning based on actual workload and Power BI query patterns.
Own the Fabric and OneLake security model, including workspace roles, OneLake RBAC, row-level security, column-level security, object-level security, Microsoft Purview sensitivity labels, and DLP alignment.
Design, build, and maintain Power BI Direct Lake semantic models, DAX measures, dataset access controls, and performance-tuned reporting layers directly on top of the Gold layer.
Configure semantic models for AI and Copilot readiness, including AI data schemas, verified answers, clear table/column/measure descriptions, and business-friendly metadata.
Use Copilot in Power BI and engineering productivity tools such as GitHub Copilot to accelerate modeling, report creation, documentation, and validation while ensuring all generated outputs meet enterprise quality standards.
Establish operational monitoring and observability using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, and Log Analytics to proactively identify performance or reliability issues.
Troubleshoot production pipeline, data-quality, semantic model, and report-performance issues; lead root-cause analysis and coordinate remediation with platform, analytics, business, and support teams.
Expose Lakehouse, Warehouse, Gold-layer, or semantic-model data through Fabric API for GraphQL or REST where programmatic or application-level consumption is required.
Maintain architecture documentation, runbooks, lineage definitions, business glossaries, onboarding materials, and self-service guidance for technical and non-technical stakeholders.
Partner with business stakeholders across underwriting, claims, actuarial, finance, and regulatory reporting teams to translate data requirements into scalable Fabric data products and explain analytical outputs in business terms.
Mentor engineers, review pull requests, support capacity planning, and promote shared engineering practices across data engineering, analytics engineering, and Power BI development activities.

Qualifications:

Microsoft Fabric engineering, including Workspaces, OneLake, Lakehouse, Warehouse, Notebooks, Data Pipelines, Dataflows, and Direct Lake.
Data engineering and transformation development using SQL, PySpark, Python, Spark, Delta Lake, and modern ELT patterns.
Bronze, Silver, and Gold Lakehouse architecture, including ingestion, cleansing, conformance, reconciliation, and business-ready data mart design.
Dimensional modeling expertise, including Kimball methodology, star schemas, fact/dimension design, grain definition, Slowly Changing Dimensions Type 2, and incremental load patterns.
Delta table performance optimization using OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, partitioning strategy, and Spark workload tuning.
Azure DevOps and CI/CD skills, including Git-based development, pull requests, approval gates, environment promotion, deployment automation, and release governance.
Power BI semantic model development, including Direct Lake models, relationships, DAX measures, calculation logic, dataset security, and report performance optimization.
AI and Copilot readiness for analytics, including semantic model descriptions, verified answers, AI data schemas, business-friendly metadata, and validation of AI-generated outputs.
Data governance and security, including OneLake RBAC, workspace roles, row-level security, column-level security, object-level security, Microsoft Purview sensitivity labels, lineage, and DLP alignment.
Data quality engineering, including automated validation, reconciliation checks, exception handling, lineage validation, auditability, and regulatory reporting support.
Monitoring and operational support using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, Log Analytics, incident triage, and root-cause analysis.
Insurance domain understanding, especially Auto and Property policy, claims, billing, actuarial, underwriting, regulatory reporting, loss ratio, and combined ratio concepts.
API and integration awareness, including Fabric API for GraphQL, REST-based consumption patterns, and governed downstream application access.
Documentation and communication skills, including architecture documentation, runbooks, business glossaries, data lineage, onboarding materials, and stakeholder-ready explanations.
Technical leadership skills, including mentoring engineers, reviewing code, defining reusable patterns, enforcing standards, supporting capacity planning, and collaborating across platform, analytics, and business teams.

Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.

Skills

Azure Devops, CI/CD, Data Engineering, Data Governance, Data Lakehouse Architecture, Data Quality, Data Security, Data Transformation, Python (Programming Language), Semantic Modeling

Compensation

Expected compensation for this role ranges from $ 80,900 - 120,000 annually. Actual salary offered to successful candidates will vary based on their skills and experience.

Joining our team isn’t just a job - it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate Canada Group uses AI technology tools to assist in screening, selecting, assessing, and scheduling interviews with candidates as part of the recruitment process.

This job posting is for a current open role within the organization.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design and operate the Microsoft Fabric workspace and OneLake architecture to deliver end-to-end data products from raw ingestion to Power BI semantic models. Establish engineering standards, CI/CD pipelines, and security models to ensure insurance data is performant and ready for AI-augmented analytics.

Requirements

Requires deep expertise in Microsoft Fabric, PySpark, SQL, and dimensional modeling using Kimball methodology. Candidates must be proficient in Azure DevOps CI/CD and have experience optimizing Delta tables and implementing data governance within an insurance domain.

Skills

Azure Devops
CI/CD
Data Engineering
Data Governance
Data Lakehouse Architecture
Data Quality
Data Security
Data Transformation
Python
Semantic Modeling
Microsoft Fabric
PySpark
SQL
Dimensional Modeling
Power BI
Delta Lake

Benefits

Flexible Work Arrangements
Employee Discounts
Good Office Program
Student Loan Payment Matching Program
Annual Wellness Allowance
Personal Days
Tuition Reimbursement
Community Volunteering

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
OneLake
Lakehouse
Warehouse
PySpark
Python
SQL
Delta Lake
Kimball Methodology
Star Schema
SCD Type 2
Azure DevOps
CI/CD
Power BI
DAX
Direct Lake
Microsoft Purview
Copilot
GitHub Copilot
GraphQL
REST API
Data Governance
RBAC
Insurance
Auto Insurance
Property Insurance
Actuarial
Underwriting
Log Analytics
Azure Monitor

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Work requirements

Jobs in Canada