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Added 40 mins ago
Lead Data Engineer
National Bank of Canada
Montreal, QC
Full-time
A career as a Senior Developer in Data Engineering on the Financial crime and regulatory projects team at National Bank means serving as a Data Analytics Specialist. This position allows…
Added 1 hour ago
Senior Data Platform Engineer - Zonda - Toronto, Ontario
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Toronto, ON
$140,000 to $170,000 CAD / year
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This is a hands-on senior engineering role at the intersection of data engineering, Data DevOps, cloud platform engineering, and production reliability.
Added 7 hours ago
Senior Software Engineer – Full Stack
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Added 9 hours ago
Senior DevOp Engineer
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$70 to $85 CAD / hour
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About the Job Senior DevOps Engineer (alternate: Senior Cloud / Platform Engineer) About the role:
Added 10 hours ago
Senior Security Detection Engineer (Global Security)
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Toronto, ON
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Added 11 hours ago
Senior Java Modernization Engineer
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Added 12 hours ago
Senior Data Engineer, Analytics
nesto
Vancouver, BC
Full-time
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 12 hours ago
Senior Data Engineer, Analytics
nesto
Vancouver, BC
Full-time
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 12 hours ago
DevOps Manager
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$85,000 to $95,000 CAD / year
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Added 13 hours ago
Senior Quality Assurance Automation Engineer
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Contract
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Added 13 hours ago
Senior Java Software Engineer (Backend / Systems-Focused)
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$90 to $95 CAD / hour
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Title: Senior Java Software Engineer (Backend / Systems-Focused)
Added 13 hours ago
Sr. Software Engineer (Salesforce), Specialty Health Technology
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Added 14 hours ago
Lead AI engineer
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$150,000 to $175,000 CAD / year
Full-time
Our client is seeking an experienced AI Engineering Team Lead to lead the design, development, and support of secure, cloud-native, AI-enabled applications within a highly regulated…
Added 14 hours ago
Senior Manager, Data Services & Platforms
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ON · Mississauga, ON
The Senior Manager, Data Services & Platform is a newly established leadership role within the Data, Governance & Analytics (DG&A) Hub at Purolator. This role owns two connected…
Added 15 hours ago
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Added 16 hours ago
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Added 16 hours ago
Senior Data Engineer
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Added 18 hours ago
IAM Engineer
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Added 18 hours ago
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Added 19 hours ago
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Added 19 hours ago
DevOps Developer
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Added 19 hours ago
Senior Data Engineer :Scala, Spark, Python, Hadoop, Databricks
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Added 20 hours ago
Identity and Access Management (IAM) Engineer
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Contract
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Added 20 hours ago
Senior Data Engineer, Analytics
CMLS Financial
Vancouver, BC
$90,000 to $110,000 CAD / year
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 20 hours ago
Senior Data Engineer, Analytics
Nesto Group(e)
Vancouver, BC
$90,000 to $110,000 CAD / year
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…

nesto

Senior Data Engineer, Analytics

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Experience: 3+ years of data engineering experience, including owning production pipelines and data models in a cloud environment.
Posting language: English
Posted: Sep 28, 2026

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Original job description

Future-Forward. Client-Focused.

About Us

Founded in 1974, CMLS Commercial is one of Canada's largest independently owned commercial mortgage services companies, providing financing solutions to real estate owners, developers, institutional investors, and many of the country's leading financial institutions.

Our expertise spans the full commercial mortgage lifecycle - from origination and underwriting to servicing, securitization, mortgage analytics, and market intelligence. Backed by decades of experience and a reputation for innovation, we help clients navigate complex financing opportunities with confidence.

Nesto Group

Nesto Group is Canada's leading provider of mortgage technology and financing solutions, with more than CAD $80 billion in residential and commercial mortgages under administration. Trusted by many of the country's leading financial institutions, we combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of lending.

Powered by our proprietary cloud and AI technology, nesto has become one of Canada's fastest-growing mortgage lenders, gaining market share across direct-to-consumer (D2C) residential lending, the broker channel, and multi-family commercial lending. Recognized as one of Deloitte's Fast 50 companies for three consecutive years, we continue to push the industry forward through innovation, technology, and customer-focused solutions.

Operating through our family of brands - CMLS, nesto, and Nesto Cloud - our mission is to build Canada's mortgage ecosystem of the future and create a true Canadian champion in lending technology and financial services. Learn more at: https://nestogroup.ca/

Life at CMLS Commercial

At CMLS Commercial, you'll work alongside industry experts on transactions that help shape communities across Canada. Whether you're supporting institutional clients, delivering market insights, or financing landmark developments, you'll be part of a collaborative team where expertise is valued and professional growth is continuous.

About The Role

You'll own the Commercial Analytics data platform in Microsoft Fabric - how data is ingested, modeled, secured and served across our Power BI reports, client extracts and internal tools. You'll lead new initiatives from first stakeholder conversation through to production. In your first year, you'll get up to speed on our pipelines and reporting, help migrate Azure Data Factory pipelines and legacy SSRS reports to Fabric, and add CI validation alongside our existing DevOps pipelines.

Key Responsibilities

Lead new initiatives end to end: meet directly with stakeholders and clients to gather requirements, design solutions and deliver them to production.
Make architecture decisions across ingestion, transformation, storage and modeling, including how lakehouses, warehouses, workspaces and environments are organized.
Design and maintain ELT pipelines from SQL Server, Azure SQL, REST APIs and SaaS platforms, with incremental loads, safe reruns and clear failure handling.
Design and maintain dimensional data models for analytics and reporting.
Build the views, stored procedures and curated tables behind our Power BI semantic models, dashboards and internal tools, including reading existing DAX and Power Query and moving logic upstream where it belongs.
Implement data validation, monitoring, logging and alerting to catch and resolve issues quickly.
Tune queries and pipelines for performance as data volumes grow.
Manage access control, database and user provisioning, and data sharing with internal teams and external partners.
Document lineage, architecture and data processes.
Review code, share patterns and help set the team's engineering standards.
Evaluate new Fabric features and tools, run proofs of concept and bring the team improvements worth adopting.

Skills And Qualifications

3+ years of data engineering experience, including owning production pipelines and data models in a cloud environment.
Hands-on Microsoft Fabric experience is preferred. Strong experience with Azure Data Factory with Synapse or Databricks, or with Databricks on another cloud, is also a great fit.
Advanced SQL on large relational datasets, including views, stored procedures, performance tuning and incremental and merge patterns.
Strong dimensional modeling experience, using Kimball methodology.
Experience building datasets for Power BI, and enough DAX and Power Query to read a semantic model and understand what it does.
Python (PySpark or pandas) for ingestion, validation and automation.
Experience integrating REST APIs, including authentication, pagination and rate limits.
Experience with governance practices such as access control, data security and usage monitoring.
Git-based development and CI/CD, ideally with Azure DevOps.
Daily use of AI coding tools, with a clear understanding of everything you ship. Claude Code is strongly preferred.
Experience leading data projects end to end, from requirements to production.
Strong communication skills with both technical and non-technical stakeholders.

Nice to Have

SSRS experience.
DBA-adjacent experience: creating databases, users and permissions, and data masking.
dbt or a similar transformation framework.
Experience with migration projects.
Financial services, mortgage or lending data.
Row-level security in Power BI or Fabric.
DP-700 or DP-600 certification.

Why You'll Love Working Here

We believe great people do their best work when they're supported professionally, personally, and financially. That's why we offer a comprehensive rewards package designed to help you thrive at every stage of your career.

Competitive Rewards - Competitive compensation, performance incentives (where applicable), and recognition for your contributions.
Health & Wellness - Comprehensive medical, dental, and vision coverage, Health & Wellness Spending Accounts (where applicable), telemedicine, Employee Assistance Programs, and mental health support for you and your family.
Time to Recharge - Generous vacation (4 weeks), floater days, and statutory holidays to help you recharge.
Planning for the Future - RRSP matching to support your long-term financial wellbeing.
Family Support - Enhanced maternity and parental leave top-up programs.
Learning & Growth - Education assistance, mentorship, training, and opportunities to build your career across Nesto Group.
Tools for Success - Modern technology, collaborative teams, and the resources you need to do your best work.

Diversity, Equity & Inclusion

At Nesto Group, we believe diverse perspectives make us stronger. We are committed to fostering an inclusive workplace where everyone feels respected, supported, and empowered to succeed.

We welcome applications from people of all backgrounds, including Indigenous Peoples (First Nations, Inuit, and Métis), persons with disabilities, members of racialized communities, women, and members of the 2SLGBTQIA+ community.

If you require accommodation during any stage of the recruitment process, we are committed to working with you to meet your needs.

The Pay Range For This Role Is

90,000 - 110,000 CAD per year(Vancouver)

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More about this job

Responsibilities

Own the Commercial Analytics data platform in Microsoft Fabric, leading initiatives from stakeholder requirements through production and making architecture decisions across ingestion, transformation, storage, and modeling. Build and maintain pipelines and analytics models, support Power BI and internal tools, improve validation and monitoring, manage access and data sharing, and guide engineering standards and platform improvements.

Requirements

Requires at least three years of data engineering experience owning production pipelines and data models in a cloud environment, advanced SQL, dimensional modeling using Kimball methodology, and experience building datasets for Power BI. Candidates should also have Python, REST API integration, governance, Git-based CI/CD, end-to-end project leadership, and strong communication skills; Microsoft Fabric is preferred, with Azure Data Factory, Synapse, or Databricks experience also suitable.

Skills

Microsoft Fabric
Data Engineering
SQL
Dimensional Modeling
Kimball Methodology
Azure Data Factory
Power BI
Python
PySpark
REST API Integration
ELT Pipelines
Data Governance
CI/CD
Azure DevOps
Stakeholder Communication
End-to-End Project Leadership

Benefits

Competitive Compensation
Performance Incentives
Recognition
Medical Insurance
Dental Insurance
Vision Coverage
Health and Wellness Spending Accounts
Telemedicine
Employee Assistance Program
Mental Health Support
Four Weeks of Vacation
Floater Days
Statutory Holidays
RRSP Matching
Maternity and Parental Leave Top-Up
Education Assistance
Mentorship
Training

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Azure Data Factory
Azure Synapse
Databricks
SQL Server
Azure SQL
REST APIs
SaaS Platforms
Power BI
DAX
Power Query
Python
PySpark
Pandas
ELT
Dimensional Modeling
Kimball Methodology
Lakehouses
Data Warehouses
Semantic Models
CI/CD
Azure DevOps
Git
Data Governance
Access Control
Data Security
SSRS
dbt
Row-Level Security
DP-700

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