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Added 11 days ago
OH
Senior Quality Assurance Engineer
Ontario Health | Santé Ontario
Toronto, ON
- Full-time
The Senior Quality Assurance Engineer is responsible for ensuring the quality, reliability, and performance of digital solutions through manual and automated testing. The role leads testing…
Added 11 days ago
TH
Product Manager, Advanced Analytics, Tim Hortons, Canada
Tim Hortons
Toronto, ON
- Full-time
Familiarity with data analysis languages (e.g. SQL & Python) and modern data tools (e.g., Databricks, Snowflake, AWS, Datadog, Adobe) and analytics visualization tools.
Added 11 days ago
Senior Demand Planner
HelloFresh
Toronto, ON
Proficiency in demand planning software and tools (Google Sheets, Excel, SQL, Python, Tableau) complemented with exceptional analytical and problem solving skills
Added 11 days ago
T
Senior Data Engineer
TEEMA
Vancouver, BC
- $70 to $95 CAD / hour
- Contract
Build scalable data solutions using Databricks, Delta Lake, Delta Live Tables (DLT), Python, Spark, and SQL.
Added 11 days ago
I
Database Automation Test Engineer
INFOYA
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
experienced Senior Automation Engineer with strong expertise
Added 11 days ago
RB
Senior Manager, Forecast Delivery, Personal and Commercial Operations
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in SQL and/or general-purpose programming languages (e.g., Python)
Added 11 days ago
OM
Research Analyst
Omnicom Media
Toronto, ON
- Full-time
Experience with Advanced Analytical Tools: Experience with analytical tools such as DisplayR, SPSS, Q, R, Python, or SQL is a plus.
Added 11 days ago
N
Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Design and maintain ELT pipelines from SQL Server, Azure SQL, REST APIs and SaaS platforms, with incremental loads, safe reruns and clear failure handling.
Added 11 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Reporting to the Senior Manager, Credit Strategy, you'll support the MBNA and other credit card portfolios by combining analytics, strategic thinking, and stakeholder collaboration to solve…
Added 11 days ago
T
Full Stack .NET Developer
Techso
Montreal, QC
- Full-time
Techso is looking for a Senior Full Stack .NET Developer to help design and develop digital solutions used by our clients across Canada.
Added 11 days ago
C
Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…change the way that people bank. As a Consultant, Full Stack Developer, you’ll assist in developing, testing, and supporting the implementation of cross-functional, multi-platform…
Added 11 days ago
Senior Manager, Expense Oversight and Transparency - Finance
Scotiabank
Toronto, ON
Data Analytics experience using SQL and Python is highly desirable
Added 11 days ago
FS
Senior Platform Engineer, Performance Management
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The Senior Platform Engineer is responsible for managing the technical delivery lifecycle of Dynamics 365 Finance & Operations (D365 F&O), including source control, branching strategies,…
Added 11 days ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 11 days ago
I
Database Automation Test Engineer
Infoya
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
Develop reusable automated test scripts using Python, SQL, or equivalent technologies.
Added 11 days ago
T
Full Stack Java Developer
Techso
Montreal, QC
- Full-time
Techso is looking for a Senior Full Stack Java Developer to help design and develop digital solutions used by leading clients in Montreal and internationally.
Added 11 days ago
Data Analyst, Investment Data Architecture
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
SQL is an asset; familiarity with Python, PySpark, Lakehouse architecture, Microsoft Fabric or similar data platforms is a plus.
Added 11 days ago
Data Analyst, Investment Data Architecture
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
SQL is an asset; familiarity with Python, PySpark, Lakehouse architecture, Microsoft Fabric or similar data platforms is a plus.
Added 11 days ago
D
Senior Software Developer
DNV
Toronto, ON
- Full-time
The Senior Software Developer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform…
Added 11 days ago
Reporting Data Analyst - 12 Month Contract
The Canada Life Assurance Company
Winnipeg, MB · London, ON
Demonstrated experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualisation tools (Power BI) with experience at…
Added 11 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)
Added 11 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)
Added 11 days ago
T
Information Security Specialist (Vulnerability Management Data Insights & Reporting )
TD
Toronto, ON
- Full-time
Extract and transform large data sets using approved methods such as REST APIs, scheduled exports, SQL or query tools, Python, PowerShell, or equivalent technologies when analysis cannot be…
Added 11 days ago
AI
Senior Software Engineer – Core Java, Apache Spark, Python, SQL, Data Processing
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
Senior Software Engineer – Core Java, Apache Spark, Python, Big Data, SQL
Added 11 days ago
TS
Analyst, Client Solutions – Global Transaction Banking
TD Securities
Toronto, ON
- Full-time
Strong SQL skills with experience working with large datasets.

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: Nov 19, 2026
Experience: 3+ years of data engineering experience, including owning production pipelines and data models in a cloud environment.
Posting language: English
Posted: Oct 20, 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, including data ingestion, modeling, security, and delivery to Power BI reports, client extracts, and internal tools. Lead analytics initiatives from stakeholder requirements through production, while maintaining pipelines and models, improving reliability and performance, managing access, and documenting and establishing engineering standards.

Requirements

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

Skills

Microsoft Fabric
Azure Data Factory
Advanced SQL
Dimensional Modeling
Kimball Methodology
Power BI
Python
PySpark
REST API Integration
Data Pipeline Engineering
ELT
Data Governance
CI/CD
Azure DevOps
DAX
Power Query

Benefits

Competitive Compensation
Performance Incentives
Health 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
SQL
ELT
Lakehouses
Data Warehouses
Dimensional Modeling
Kimball Methodology
Power BI
DAX
Power Query
Python
PySpark
Pandas
Data Validation
Data Governance
Access Control
Git
CI/CD
Azure DevOps
SSRS
dbt
DP-700
DP-600

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