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Added 1 month ago
A
Ingénieur(e) Senior, Plateforme de Données
Astek
Montreal, QC
- Full-time
Concevoir, construire et maintenir des pipelines de données avec SQL et des outils big data tels que Spark, Kafka ou Hadoop
Added 1 month ago
H
Full Stack Engineering - Americas Finance
HSBC
Toronto, ON
- Full-time
Bring substantial hands-on experience supporting Structured Query Language (SQL) Server and Oracle in production environments
Added 1 month ago
PI
Data Engineering Manager, Regulatory Compliance
PENN Interactive
Canada
- Full-time
Strong Knowledge of relational databases, SQL, python, and docker
Added 1 month ago
SC
Lead Développeur Java Spring Boot (Senior)
SII Canada
Montreal, QC
- Full-time
Added 1 month ago
RU
Software Developer II
Ricoh USA, Inc.
Kitchener, ON
- Full-time
We are seeking an InterSystems IRIS and HealthShare Developer to design, build, and optimize enterprise-grade integration solutions and patient-centric healthcare systems. In this role, you…
Added 1 month ago
SM
Sr. Analyst, Strategic Analytics
Spin Master Ltd
Toronto, ON
- Full-time
Technical Skills: Advanced proficiency in SQL. Experience working with large datasets, preferably in a cloud environment (e.g., BigQuery). Familiarity with Python for data analysis is a…
Added 1 month ago
A
Software Engineer
aivra.health
Toronto, ON
- $100,000 to $160,000 CAD / year
- Full-time
Added 1 month ago
TC
Junior Software Engineer
TeamBuilder Consulting
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Junior Software Developer – Industrial Data & Automation
Added 1 month ago
FA
Manager, Member Services
Facility Association
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Added 1 month ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…stable production data. You’ll work primarily in Python and SQL with tabular, time-series, and, as we grow, graph-structured data such as…
Added 1 month ago
GS
Lead Développeur Java Spring Boot (Senior)
Groupe SII
Montreal, QC
- Full-time
Added 1 month ago
R
Senior Manager - AML Data - Financial Crimes and AML Internal Audit
RBC
Toronto, ON
- Full-time
Working knowledge of SQL, Python and excel (able to read, understand, and apply code/queries for analysis and validation of data)
Added 1 month ago
JG
Java Spark Developer
J&M Group
Montreal, QC
- Contract
Develop and tune complex SQL queries and database workloads.
Added 1 month ago
TH
Customer Implementation Manager, Payroll Functional Lead
TELUS Health
Toronto, ON
- Full-time
…Development, Data, QA) to design practical solutions, and use advanced SQL skills to validate configurations, analyze data, and investigate issues. You'll dig deep to find root causes and…
Added 1 month ago
Consulting Director, Financial Reporting (Workiva)
Clearsulting
Canada
Experience with Workiva Wdata, Chains, SQL, and platform integrations.
Added 1 month ago
SC
Senior Manager - Customer Analytics
Staples Canada
Richmond Hill, ON
- Full-time
Expert in SQL and strong proficiency in Python.
Added 1 month ago
R
Software Developer II
Ricoh
Kitchener, ON
- Full-time
We are seeking an InterSystems IRIS and HealthShare Developer to design, build, and optimize enterprise-grade integration solutions and patient-centric healthcare systems. In this role, you…
Added 1 month ago
L
Customer Implementation Manager, Payroll Functional Lead
LifeWorks
Toronto, ON
- Full-time
…Development, Data, QA) to design practical solutions, and use advanced SQL skills to validate configurations, analyze data, and investigate issues. You'll dig deep to find root causes and…
Added 2 months ago
Data Intelligence Specialist
L3Harris Technologies
Hamilton, ON · Waterdown, ON
SQL, Python, or similar data processing technologies
Added 2 months ago
G
Développeur(euse) logiciel / Software Developer - CSOL
Genetec
Montreal, QC
- Full-time
Expérience avec les bases de données relationnelles telles que Microsoft SQL Server
Added 1 month ago
J
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Technical skills such as coding (Python/R), data modeling, and database management (SQL)
Added 1 month ago
C
AI Engineer
Cognizant
Toronto, ON
- Full-time
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 1 month ago
EC
Applications Developer (Contract)
ECO Canada
Calgary, AB
- Contract
As a key member of the Applications Development team, the Applications Developer will be responsible for developing and maintaining our web applications. While each member of ECO Canada has…
Added 1 month ago
RC
Software Developer II
Ricoh Canada Inc.
Kitchener, ON
- $70,000 to $100,000 CAD / year
- Full-time
We are seeking an InterSystems IRIS and HealthShare Developer to design, build, and optimize enterprise-grade integration solutions and patient-centric healthcare systems. In this role, you…
Added 1 month ago
IQ
Senior Technical Business Analyst
Infinity Quest
Canada
- Contract
Perform data analysis, validation, reconciliation, and root-cause investigations using SQL.

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.

Apply About employer

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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