Find work in Canada.

354,461 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 11 days ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
Establish and maintain automated CI/CD deployment pipelines (Git-based) for database schemas, Python code, and Informatica assets
Added 11 days ago
PV
Senior Developer
Pet Valu
Markham, ON
- Full-time
We are seeking a seasoned and forward-thinking Senior Applications Developer with deep expertise in cloud-native application development, particularly within the Microsoft Azure ecosystem.…
Added 11 days ago
S
Calypso QA Automation Engineer
Synechron
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
Use SQL to validate front-office, back-office, and database results.
Added 11 days ago
S
Python Full Stack Developer
Synechron
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
The ideal candidate will have a strong background in full stack development with hands-on experience in Python, React, and cloud-native technologies. As a Full Stack Developer, candidate…
Added 11 days ago
GT
Senior Capacity Planning Analyst
Greater Toronto Airports Authority
Toronto, ON
- Full-time
Added 11 days ago
C
Python Developer
Capgemini
ON · Ontario, Canada
- Full-time
- 8 years of experience in Python software development
Added 11 days ago
M
Senior Full Stack Software Developer
Mecka
Remote, Canada
- $165,000 to $200,000 CAD / year
- Full-time
- Remote
Services & APIs: Build and iterate on backend services using Node.js (Express/Fastify) and/or Python (FastAPI/Django).
Added 11 days ago
C
(Python) AI Engineer - Vice President
Citi
Mississauga, ON
- Full-time
6+ years' experience and mastery of Python programming language
Added 11 days ago
Computer Services Officer 4 (Technical Architect)
The Government of Nova Scotia
Halifax, NS
Added 11 days ago
C
Senior Data Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 12 days ago
NB
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 12 days ago
SG
Tech Ops Engineer
Scientific Games
Montreal, QC
- Full-time
Automatisez les tâches opérationnelles à l'aide de Bash, Python, PowerShell, Ansible, Terraform, SQL, CloudFormation ou d'outils équivalents afin de réduire les tâches manuelles,…
Added 12 days ago
B
Java Developer
Bounteous
Montreal, QC
- Full-time
Familiarity with scripting languages like Shell, Perl, or Python, and database management systems.
Added 12 days ago
Senior Solutions Architect (Pre-Sales)
MongoDB
Montreal, QC
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Added 12 days ago
UO
Research Scientist
University of New Brunswick
Fredericton, NB
- Full-time
Provide mentorship and supervision to database analysts, research assistants, administrative staff, and junior colleagues, including graduate students and postdoctoral fellows.
Added 12 days ago
P&
Stage - Hiver 2027 - Administration des contrats, analyse des ventes et marketing / Internship - Winter 2027 - Contract Administration, Sales Analysis & Marketing
Pratt & Whitney
Longueuil, QC
- Full-time
Gestion de projets spéciaux (CRM, Marketing Transformation, Outils Database, Power BI).
Added 12 days ago
Z
DevOps Engineer
ZTR
London, ON
- Full-time
Troubleshoot infrastructure, networking, deployment, database, and production service issues in collaboration with development and IT teams
Added 12 days ago
NV
Predictive Analytics Specialist (ID#5549)
New Value Solutions
Calgary, AB
- Contract
Develop scalable SQL Server database structures, data models, and semantic models.
Added 12 days ago
UG
Research Scientist
UNB Geodesy & Geomatics Engineering
Fredericton, NB
- Full-time
Provide mentorship and supervision to database analysts, research assistants, administrative staff, and junior colleagues, including graduate students and postdoctoral fellows.
Added 12 days ago
R
Stage - Hiver 2027 - Administration des contrats, analyse des ventes et marketing / Internship - Winter 2027 - Contract Administration, Sales Analysis & Marketing
RTX
Longueuil, QC
- Full-time
Gestion de projets spéciaux (CRM, Marketing Transformation, Outils Database, Power BI).
Added 12 days ago
N
Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Manage access control, database and user provisioning, and data sharing with internal teams and external partners.
Added 12 days ago
N
Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Manage access control, database and user provisioning, and data sharing with internal teams and external partners.
Added 12 days ago
T
Senior Java Developer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for a savvy Senior Java Developer to join our growing Prime Technology team. The hire will be responsible for designing, building, maintaining, and supporting applications…
Added 12 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured data. Thirst for learning. You…
Added 12 days ago
M
DevOps Specialist
Manulife
Toronto, ON
- Full-time
Proficiency in scripting and automation using PowerShell, Python, Bash, or similar technologies.

nesto

Senior Data Engineer, Analytics

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

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

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)

Apply About employer

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

Report this job