Jobs in Canada

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Added 8 days ago
T
Sr. Project Manager
Tru
Toronto, ON
- Full-time
However, candidates must reside in the Greater Toronto Area (GTA) and be prepared to attend in-person meetings as required · For an onshore role, attend the office three days per week
Added 9 days ago
Senior Manager Real Estate, Project Delivery
Hydro One Networks Inc
Markham, ON
The Senior Manager, Real Estate Capital Delivery leads Hydro One's facilities capital delivery and workplace modernization programs, overseeing the planning and execution of sustainment…
Added 9 days ago
HC
Manager, Operations & Technology
Hotels Canada
Ottawa, ON
- Full-time
As Manager, Operations & Technology, you will manage and coordinate a broad portfolio that includes operations, technology, human resources administration, risk management, and…
Added 9 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 9 days ago
NB
Senior Tax Advisor
National Bank of Canada
Toronto, ON
- Full-time
…group of 12 specialized professionals and report to the Senior Manager, Investment Fund Accounting. We are responsible for all tax-related activities for investment funds administered by…
Added 10 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 10 days ago
A
Développeur Full Stack | Full Stack Developer (C# / React)
Astek
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Loïc, ton futur Manager, te proposera ensuite d’échanger autour de cette opportunité, de ton parcours et de tes attentes !
Added 10 days ago
G
Manager in Training
Guillevin
Dartmouth, NS
- Full-time
Availability and willingness to do what it takes to successfully complete the “Learn to Manage Your Centre” training program.
Added 10 days ago
A&
Manager - Transaction Advisory Canada - Performance Improvement
Alvarez & Marsal
Toronto, ON
- Full-time
As you help corporate clients and private equity portfolio companies navigate transformation and achieve superior performance, you will gain valuable insight into how businesses evolve and…
Added 10 days ago
L
Supply Chain Project Manager | Contract until October 2027
lululemon
Vancouver, BC
- Full-time
Work is performed onsite, minimum 4 days per week.
Added 10 days ago
L
Assistant Manager
LensCrafters
Toronto, ON
- Full-time
Must have a strong command of the English language for all written correspondence & oral communication
Added 10 days ago
Assistant Manager
EssilorLuxottica Group
Toronto, ON
Must have a strong command of the English language for all written correspondence & oral communication
Added 10 days ago
EI
Director of Engineering And Operations
Entegrus Inc
St. Thomas, ON
- Full-time
…position will have 3 direct reports including an Engineering Manager and 2 Regional Operations Managers. In total, the staff under the direction of the Director will be approximately 54…
Added 10 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 10 days ago
EP
Sr. Operations Manager – Rating and Forms
Embrace Pet Insurance
NB · Chiasson Office, NB
- Full-time
Senior Operations Manager, Rating & Forms - Embrace Pet Insurance
Added 10 days ago
HR
Registered Practical Nurse Cardiology
Humber River Health
Toronto, ON · Greater Toronto, ON
- Other
This transformation has been made possible through the dedication of Humber’s staff, physicians, and volunteers. Together, they are united by a shared belief: the power to transform…
Added 10 days ago
CH
Advisor
Covenant Health Canada
AB · Edmonton, AB
- Full-time
Reporting to the Manager, Medical Workforce, the Advisor plays an important role in physician workforce planning and recruitment across Covenant Health. Working closely with medical and…
Added 10 days ago
AM
Director Digital Solutions & Business Growth
Arc Mercer
Barrie, ON
- Full-time
Confidential employer paid Employee Assistance Program for you and your family members.
Added 10 days ago
AH
Manager
Alberta Health Services
AB · Greater Edmonton Metropolitan Area
- Full-time
Working in a multi-disciplinary team, reporting to the Director of EHS Operations, the Manager supports a team of Supervisors who lead front-line healthcare teams. As a culture change…
Added 10 days ago
C
Partner Delivery Project Manager
Ciena
Ottawa, ON
- Full-time
…support capabilities. This role serves as the primary Project Manager for the Partner Delivery portfolio, partnering closely with Supply Chain, IT service owners, End User Support, external…
Added 10 days ago
Q
Power Systems Specialist III
Qualus
Bolton, ON
- Full-time
Assess project specific resource needs and coordinate assignments with project manager. Communicate core technical job requirements.
Added 11 days ago
Manager, Enterprise
BrainStation
Toronto, ON
Genuine enthusiasm for in-person work and collaboration; this role follows a hybrid model with four or more days per week in the office
Added 11 days ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…Model Development team within Risk, working closely with the Manager, Model Development, Data Scientists, and Model Developers. This highly technical, hands-on role focuses on the data…
Added 11 days ago
TI
Sr Mgr, Process Improvement & Transformation
telMAX Inc.
Markham, ON
- $90,000 to $130,000 CAD / year
- Full-time
SENIOR MANAGER, PROCESS IMPROVEMENT & TRANSFORMATION
Added 11 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license

Propel Holdings

Analytics Engineer, Risk

Toronto, ON, M5E 1K3, Canada

$70,000 - $100,000 · Full-time

Apply on recruiting.ultipro.ca About employer

Applications open in a new tab.

Job details

Pay: $70,000 - $100,000
Job type: Full-time
Posting language: English
Posted: Oct 23, 2026

Original job description

About Us:

Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech platform has already helped consumers access over one million loans and lines of credit and over one billion dollars in credit.

To build a new world of opportunity we bring together the brightest talent to help us build opportunities. We are entrepreneurs and believe in measuring success through results and growing within; talent and hard work never goes unnoticed. At Propel, we are here to change the way employees, customers and shareholders succeed together.

We are a team of passionate entrepreneurs, who foster curiosity and growth in our employees. Our culture is why we have been so successful and why our employees choose Propel to build their careers. It is also why we are one of North America’s fastest growing companies and a Best Place to Work.

Join us as we change the way employees, customers and shareholders succeed together.

About You:

You thrive in a vibrant, entrepreneurial organization where your ideas are valued. You are motivated by goals, a self-starter, and enjoy wearing multiple hats in a fast-growing fintech environment.

You are a builder at heart - someone who prefers creating reliable data pipelines over another dashboard. You thrive on owning the “plumbing” that delivers clean, timely data to machine learning models and enjoy turning manual, messy processes into repeatable automation. As the Analytics Engineer, Risk, you’ll join the Model Development team within Risk, working closely with the Manager, Model Development, Data Scientists, and Model Developers. This highly technical, hands-on role focuses on the data infrastructure supporting credit risk models, including ETL pipelines for model training and scoring, standardized ingestion of new data sources - including UK data - and day-to-day delivery of stable production data. You’ll work primarily in Python and SQL with tabular, time-series, and, as we grow, graph-structured data such as Neo4j.

Responsibilities

Own the integration of new data sources, into Propel’s model-ready data standards, ensuring consistent schemas, definitions, and quality across regions (CA/US/UK)
Design, build, and maintain ETL pipelines that prepare and deliver data for model training, retraining, and scoring across multiple model types, including survival, classification, and regression models
Build and maintain pipelines within the shared ETL/orchestration framework for model development, following the templates and patterns established by the Model Development team so new models can be onboarded quickly
Build feature engineering and data transformation logic for tabular and time-series data, using tools such as tsfresh or similar
Monitor the health and stability of data pipelines feeding models in production; proactively identify and resolve data drift, quality issues, and pipeline failures
Write clean, well-tested, production-grade Python code, including scripts and reusable packages or modules, that other team members can build on
Work with containerized model deployments using Docker and Kubernetes, as well as cloud infrastructure such as AWS and S3 for data storage and workflow orchestration, with support from our Infrastructure team
Query and transform data from relational databases and data warehouses using SQL.
Document data sources, pipeline logic, and transformations clearly so pipelines are auditable, maintainable, and easy to hand off
Collaborate closely with Data Scientists and Model Developers to translate model requirements into scalable, production-ready data pipelines, and with the Business Analytics Engineering and Infrastructure teams where pipelines intersect with broader data platform work

Requirements

Must Have

Bachelor’s degree in computer science, data engineering, statistics, mathematics, or a related quantitative field
Minimum of 3 years of hands-on Python skills and comfortable writing production-quality, testable, reusable code
Familiarity with common data and ML libraries such as pandas, NumPy, and scikit-learn
Experience building or maintaining ETL or data pipelines
Experience with pipeline or workflow orchestration tools such as Metaflow, Airflow, Prefect, Dagster, or similar is a plus
Comfortable working with different data shapes: tabular and time-series data
Solid SQL skills for querying and transforming data into relational databases such as MySQL and/or data warehouses
Understanding of the ML data lifecycle, including feature engineering, training and scoring data preparation, and model monitoring and drift concepts
Experience with version control using Git and basic CI/CD practices
Strong communication and collaboration skills, with the ability to work closely with Data Scientists, Model Developers, and Infrastructure/Engineering stakeholders
Experience in fintech, credit risk, or another regulated or data-intensive industry is a plus
Experience using generative AI tools such as ChatGPT, Claude, or Copilot to accelerate day-to-day engineering work is an asset

Nice to Have

Exposure to graph data or graph databases such as Neo4j (nice-to-have)
Snowflake experience (nice-to-have)
Exposure to Docker, containerization, and cloud infrastructure such as AWS, S3, EKS, or similar services (nice-to-have)

Benefits to Joining Propel

Growth and opportunity – we pride ourselves on promoting from within
Incredible company culture
Competitive salary and health benefits
Comprehensive vacation package
Group health and dental benefits
Group RRSP program
Support for new parents
Diverse and inclusive workplace

Salary Range

$70,000 - $100,000

Final compensation is determined by market conditions, location, and the candidate’s experience, skills, and education. This role may also be eligible for performance-based incentive programs and total compensation may include variable incentives, such as bonuses and commissions.

This posting is for an existing vacancy within our organization.

Our Culture

Propel brings together the brightest talent to build opportunities. We are entrepreneurs who measure success through results and growth from within; talent and hard work never go unnoticed. Our team fosters curiosity and growth, making Propel one of North America’s fastest-growing companies and a Best Place to Work.

Commitment to Diversity & Inclusion

Propel welcomes and encourages applications from all groups, including Indigenous peoples, women, visible minorities, persons with disabilities, people from gender and sexually diverse communities, and those with intersectional identities. Should you require accommodation throughout any stage of the recruitment and selection process, please specify your requirements when submitting your application and we will work with you to meet your needs.

AI Disclosure

We use AI to assist in reviewing applications and assessing candidates. These tools support our recruitment team, however, all hiring decisions are made by our trained hiring managers and recruitment professionals, not AI.

Apply on recruiting.ultipro.ca About employer

More about this job

Responsibilities

The Analytics Engineer will design, build, and maintain ETL pipelines to support credit risk models and ensure data quality across regions. They will collaborate with data scientists to translate model requirements into scalable, production-ready data infrastructure.

Requirements

Candidates must have a bachelor's degree in a quantitative field and at least 3 years of experience with Python and SQL. Proficiency in building data pipelines and familiarity with machine learning libraries are essential for this role.

Skills

Python
SQL
ETL pipelines
Data engineering
Machine learning
Data modeling
Feature engineering
Pandas
NumPy
Scikit-learn
Docker
Kubernetes
AWS
Git
Data drift monitoring
Time-series analysis

Benefits

Competitive salary
Health benefits
Group health and dental benefits
Group RRSP program
Support for new parents

Visa sponsorship

Not detected in the job text

Keywords

Fintech
Credit risk
Data infrastructure
Python
SQL
ETL
Machine learning
Data pipelines
Pandas
NumPy
Scikit-learn
Docker
Kubernetes
AWS
S3
Git
Neo4j
Data transformation
Feature engineering
Time-series data
Tabular data
Data drift
CI/CD
Model development
Data warehousing
MySQL
Orchestration
Airflow
Metaflow
Generative AI

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Work requirements

Jobs in Canada