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Added 1 month ago
M
Assistant Lab Manager
MSALABS
Prince George, BC
- Full-time
Document Preparation and control as per ISO requirement
Added 1 month ago
M
Senior IT Business Analyst
Master
Saint-Bruno-de-Montarville, QC · St-Bruno-de-Montarville, QC
- Full-time
Collaborate with infrastructure, security, networking, cloud, and application teams to document solution requirements and operational impacts.
Added 1 month ago
M
Regulatory Affairs Specialist - 18 months Contract
Medtronic
Brampton, ON · CAN-ON Brampton
- Full-time
Directs or performs coordination and preparation of document packages for regulatory submissions from all areas of company, internal audits and inspections.
Added 1 month ago
M
Associate Regulatory Affairs Specialist - 18 months contract
Medtronic
Brampton, ON · CAN-ON Brampton
- Full-time
Directs or performs coordination and preparation of document packages for regulatory submissions from all areas of company, internal audits and inspections.
Added 1 month ago
B
Analyst, Facilities (ATS, G2)
Bombardier
Montreal, QC
- Full-time
Monitor and control automated operations from the G2 operator stations.
Added 1 month ago
Industrial Security Guard - Class 5 Licence Required - Part Time
Securiguard Services Ltd.
Regina, SK
In this role, you will be responsible for access control, scheduled and mobile patrols, monitoring security systems, incident response, and supporting overall safety and operational…
Added 1 month ago
BT
Administrative Coordinator - Temporary
Baker Tilly Canada
Elora, ON
- Temporary
Keep files organized and compliant, following naming conventions and version control.
Added 1 month ago
A
Intermediate Coastal Engineer
AtkinsRéalis
Vancouver, BC · Montreal, QC
- Full-time
Be responsible for maintaining quality standards and quality control.
Added 1 month ago
A
Senior Fuel Engineering Analyst
AtkinsRéalis
Mississauga, ON
- Full-time
Perform, document, review, and/or verify technical analyses related to fuel design, fuel thermal-hydraulics, fuel operation and safety, ROP, and fuel cycles.
Added 1 month ago
SA
Technical Service Representative - Field Service Engineer - Autobag
Sealed Air Corporation
Mississauga, ON
- Full-time
Service Documentation: Document all service activities, including maintenance schedules, work orders, repairs, parts used, inventory management, and customer communications.
Added 1 month ago
PS
Superintendent - SAGD
Primoris Services Corporation
Edmonton, AB
- Full-time
Contribute assigned-area content to the project activity risk matrix and control the field hazards it identifies
Added 1 month ago
M&
Environmental, Health & Safety Coordinator
Mitchell & Associates
Vaughan, ON
- Full-time
Assist EHS Manager in document Control for Environmental Management System
Added 1 month ago
VL
Industrial Automation and CSV Engineer - Ontario, Canada
VTI Life Sciences
Cambridge, ON
- Full-time
Review PLC programs, SCADA configurations, automation architecture, control narratives, and electrical documentation.
Added 1 month ago
VL
Industrial Automation and CSV Engineer - Ontario, Canada
VTI Life Sciences
Cambridge, ON
- Full-time
Review PLC programs, SCADA configurations, automation architecture, control narratives, and electrical documentation
Added 1 month ago
BH
Senior Manager, Regional Development Services
BC Housing
Burnaby, BC
- Full-time
Ability to plan, develop, manage, control and evaluate a portfolio of development projects requiring complex stakeholder management and coordination.
Added 1 month ago
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Principal Electrical Engineer
Worley
Calgary, AB · Edmonton, AB · Vancouver, BC
- Full-time
Participate in project and discipline meetings, provide technical input, prepare progress reports, and comply with required checking, quality assurance, and document control procedures.
Added 1 month ago
RU
Supervisor, Technology Risk - IT Audit
RSM US LLP
Toronto, ON
- Full-time
…strengthen their governance, risk management, and technology control…
Added 1 month ago
WI
Lead Mechanical Cost Consultant, Buildings
WSP in Canada
Toronto, ON · North York, ON
- Full-time
…reliable cost estimates and plans for plumbing, HVAC, fire control, controls, and specialty systems, helping clients and multidisciplinary teams make informed choices from early design…
Added 1 month ago
C
Senior Project Coordinator
Chandos
Calgary, AB
- $91,800 to $112,200 CAD / year
- Full-time
Set up and maintain project reporting procedures: cost reports, project status reports, document drawing control, shop drawing document control.
Added 1 month ago
OE
Warehouse Lead
OZZ Electric Inc.
Port Coquitlam, BC
- $30 to $35 CAD / hour
- Full-time
Prepare skids to be racked as well as document content of skids.
Added 1 month ago
O
Industrial Electrician
Olymel
Red Deer, AB
- Full-time
Diagnose electrical, electronic, and control-system failures on production and packaging equipment.
Added 1 month ago
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Intermediate Coastal Engineer
AtkinsRéalis
Montreal, QC
- Full-time
Be responsible for maintaining quality standards and quality control.
Added 1 month ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
Document data sources, pipeline logic, and transformations clearly so pipelines are auditable, maintainable, and easy to hand off
Added 1 month ago
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Lead Cashier I
Coach
Halton Hills, ON
- Full-time
Note: This document serves only as a sample of job duties and responsibilities and does not include an exhaustive list of all performance requirements.
Added 1 month ago
OG
Warehouse Lead
Ozz Group
Port Coquitlam, BC
- $30 to $35 CAD / hour
Prepare skids to be racked as well as document content of skids.

Propel Holdings

Analytics Engineer, Risk

Toronto, ON, M5E 1K3, Canada

$80,000 - $110,000 · Full-time

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Job details

Pay: $80,000 - $110,000
Job type: Full-time
Posting language: English
Posted: Sep 15, 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

$80,000 - $110,000

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.

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More about this job

Responsibilities

The Analytics Engineer will design, build, and maintain ETL pipelines to deliver clean, production-ready data for credit risk models. They will also collaborate with data scientists to integrate new data sources and ensure the stability and quality of data infrastructure.

Requirements

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

Skills

Python
SQL
ETL pipelines
Data engineering
Machine learning
Feature engineering
Data modeling
Git
Docker
Kubernetes
AWS
Data transformation
Time-series analysis
Credit risk
Data quality monitoring

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

Analytics Engineer
Fintech
Credit Risk
Python
SQL
ETL
Data Pipelines
Machine Learning
Pandas
NumPy
Scikit-learn
Neo4j
Docker
Kubernetes
AWS
S3
Data Drift
Feature Engineering
Git
CI/CD
Data Warehousing
Time-series
Tabular Data
Orchestration
Airflow
Metaflow
Dagster
Prefect
Data Infrastructure
Model Development

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