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Added 1 day ago
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Senior Salesforce Analyst, Marketing Delivery
TD
Toronto, ON
- Full-time
Leverage analytical tools including Python, PySpark, SQL, and Databricks to enhance campaign design, delivery, and measurement.
Added 1 day ago
PA
Senior Developer, Data
Porter Airlines Inc.
Toronto, ON
- Full-time
Reporting to the Director, Decision Intelligence and Emerging Technologies, the Senior Developer, Data provides technical leadership and hands-on expertise in designing, building, and…
Added 1 day ago
T
Cloud Engineer
TechDoQuest
Brampton, ON
- Contract
Build data processing solutions using Python, PySpark, and distributed processing frameworks.
Added 1 day ago
T
Senior Databricks Data Architect
TheCorporate
ON · Ontario, Canada
- Contract
Strong Expertise in Azure(ADF/ADLS), Databricks, Python, Pyspark, SQL, CI-CD (Jenkins, Github), Obs (Dynatrace)
Added 2 days ago
BD
Manager, Data Architecture
Black Diamond Group
Calgary, AB
- Full-time
…of its enterprise DataHub and data architecture. This is a senior individual-contributor role combining architecture leadership with direct technical delivery. Approximately 75% of the role…
Added 3 days ago
TA
Operation Research Scientist - Demand Planning/Forecasting
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
Added 4 days ago
L
Data Scientist
Lantern
AB · Edmonton, AB
- Full-time
Advanced proficiency in Python and SQL, with practical experience in PySpark and common data science frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Added 4 days ago
QA
Data Scientist II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Programming experience (focus on machine learning): SQL and Python’s Data Science stack are a must; good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus; R,…
Added 4 days ago
Data Scientist
Lantern
Edmonton, AB
Advanced proficiency in Python and SQL, with practical experience in PySpark and common data science frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Added 5 days ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 5 days ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 5 days ago
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Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Python (PySpark or pandas) for ingestion, validation and automation.
Added 5 days ago
N
Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Python (PySpark or pandas) for ingestion, validation and automation.
Added 5 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in…
Added 5 days ago
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Platform Engineer
Hays
Toronto, ON
- Contract
We are seeking a highly skilled Senior/Lead Platform Engineer with strong expertise in Azure, Databricks, Python, PySpark, and Spark SQL to design, develop, and support scalable cloud-based…
Added 6 days ago
C
Senior Data Engineer – Python
Citi
Mississauga, ON
- Full-time
We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join our Engineering team. The ideal candidate is passionate about building robust, scalable…
Added 6 days ago
T
Senior Data Engineer :Scala, Spark, Python, Hadoop, Databricks
TD
Toronto, ON
- Full-time
As a Senior Data Engineer in the XVA and CCR data development team, you will be responsible for designing, building, and maintaining scalable data pipelines that power our analytics and…
Added 6 days ago
CF
Senior Data Engineer, Analytics
CMLS Financial
Vancouver, BC
- $90,000 to $110,000 CAD / year
Python (PySpark or pandas) for ingestion, validation and automation.
Added 6 days ago
NG
Senior Data Engineer, Analytics
Nesto Group(e)
Vancouver, BC
- $90,000 to $110,000 CAD / year
Python (PySpark or pandas) for ingestion, validation and automation.
Added 8 days ago
R
Senior Business Analyst / Data Analyst (Security Master)
RBC
Toronto, ON
- Full-time
Working knowledge of Python, PySpark, Microsoft Azure, and Azure Synapse for cloud data analysis
Added 8 days ago
HB
Credit Analytics Risk Manager
HomeEquity Bank
Toronto, ON
- Full-time
…credit models and support analytic reviews leveraging SQL, Python, Pyspark or data visualization…
Added 8 days ago
AI
AWS Data Engineer - SQL, ETL , PYTHON, Infrastructure
Apptoza Inc.
Toronto, ON
- Contract
Build and optimize ETL/ELT workflows using AWS Glue (PySpark/Python).
Added 8 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 8 days ago
RB
Senior Business Analyst / Data Analyst (Security Master)
Royal Bank of Canada
Toronto, ON
- Full-time
Working knowledge of Python, PySpark, Microsoft Azure, and Azure Synapse for cloud data analysis
Added 8 days ago
R
Senior Business Analyst / Data Analyst (Security Master)
RBC
Toronto, ON
- Full-time
Working knowledge of Python, PySpark, Microsoft Azure, and Azure Synapse for cloud data analysis

Nesto Group(e)

Senior Data Engineer, Analytics

Vancouver, BC, Canada

$90,000 to $110,000 CAD / year

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Job details

Pay: $90,000 to $110,000 CAD / year
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.

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More about this job

Responsibilities

You will own the Commercial Analytics data platform in Microsoft Fabric, managing data ingestion, modeling, and serving across reports and internal tools. You will lead end-to-end initiatives from stakeholder requirements gathering to production delivery.

Requirements

The role requires 3+ years of data engineering experience with cloud environments and strong proficiency in SQL and dimensional modeling. Experience with Microsoft Fabric, Azure Data Factory, and Python is highly preferred.

Skills

Data engineering
Microsoft Fabric
Azure Data Factory
SQL
Dimensional modeling
Power BI
DAX
Power Query
Python
PySpark
Pandas
REST APIs
Data governance
Git
CI/CD
Azure DevOps

Benefits

Competitive compensation
Performance incentives
Medical coverage
Dental coverage
Vision coverage
Health & Wellness Spending Accounts
Telemedicine
Employee Assistance Programs
Mental health support
4 weeks vacation
Floater days
Statutory holidays
RRSP matching
Maternity and parental leave top-up
Education assistance
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Microsoft Fabric
Azure Data Factory
Synapse
Databricks
SQL Server
Azure SQL
REST APIs
SaaS
Dimensional Modeling
Kimball Methodology
Power BI
DAX
Power Query
Python
PySpark
Pandas
CI/CD
Azure DevOps
Git
Data Governance
SSRS
DBA
dbt
Financial Services
Mortgage
Lending
Cloud Computing
Data Pipelines
Analytics

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