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Added 14 days ago
A
Data Engineering Specialist
Accenture
Toronto, ON
- Full-time
…Capital Projects, you’ll do exactly that. You’ll help develop and deliver the factories, grids, transit systems, and public infrastructure that keep communities moving - and do it smarter,…
Added 14 days ago
RE
Java Software Engineer
Randstad Enterprise
Montreal, QC
- Full-time
We are seeking a Java Engineer in the Firm Market Risk Technology team, you will design, build, and optimize high-performance Java systems powering the Firm Market Risk Platform. In this…
Added 14 days ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
Proficiency in Python, SQL, and at least one strongly typed language (such as Java)
Added 15 days ago
A
Lead Software Engineer – AI, Data Visualization & Platform
Astucemedia
Montreal, QC
- Full-time
As Lead Software Engineer – AI, Data Visualization & Platform, you will help bridge architectural vision, product innovation, advanced visualization, and day-to-day engineering execution.
Added 15 days ago
V
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
- Full-time
Advanced SQL and strong Python (or a comparable language), with production engineering habits - version control, testing, code review, CI/CD.
Added 15 days ago
CG
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Develop reusable automated validation frameworks using SQL, Python, dbt, and other appropriate technologies.
Added 15 days ago
CG
Senior Data Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 15 days ago
VC
Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Advanced SQL and strong Python (or a comparable language), with production engineering habits - version control, testing, code review, CI/CD.
Added 16 days ago
CP
Tech Lead | Canada
Cuesta Partners
Remote, Canada
- $140,000 to $275,000 CAD / year
- Full-time
- Remote
Experience with data warehousing solutions, cloud platforms (e.g., AWS, Azure, GCP), and relevant tools (e.g.,SQL, Python, Spark).
Added 16 days ago
ZG
Full Stack Engineer
Zapcom Group Inc
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Looking for Sr full stack developers 8+ year's experience who needs to have core Java, Spring boot skills on backend and JavaScript and React skills on frontend.
Added 16 days ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 16 days ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 16 days ago
CC
Cloud Engineer
CDW Canada
Vancouver, BC · Greater Vancouver, BC
- Contract
The Cloud Engineer designs, implements, secures, and supports the Company’s cloud infrastructure, with primary responsibility for Microsoft Azure and secondary support for Amazon Web…
Added 16 days ago
S
Senior Fullstack Engineer- Toronto
Sokin
Toronto, ON
- Full-time
Design, develop, and maintain full-stack applications using Python, Flask, FastAPI, AWS, Angular and SQL databases.
Added 16 days ago
SG
Back End Developer-Python
SRA Group
Toronto, ON
- Contract
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 16 days ago
D
Lead Data/Analytics Engineer
dutch
Vancouver, BC
- Full-time
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 16 days ago
ES
Senior Data Engineer - Snowflake & DBT Cloud
Enterprise Solutions Inc.
Markham, ON
- Contract
Proficiency in SQL Python Shell and Terraform with a strong focus on performance reusability and maintainability
Added 17 days ago
N
Data Engineering Consultant
Netlight
Toronto, ON
- Full-time
Tech agnostic mindset with proficiency and experience in some of the following: Python, Databricks, PySpark or Spark, SQL, Airflow, Cloud (AWS, GCP, Azure)
Added 17 days ago
B
Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala
Added 17 days ago
ID
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
- $87,000 to $114,000 CAD / year
- Full-time
Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plus
Added 17 days ago
T
Data Integration Developer
Trafigura
Calgary, AB
- Full-time
Minimum 3 years' experience in Python and SQL, with a focus on data integration or pipeline development, including experience with relational databases and data modelling.
Added 18 days ago
A
Software Engineer
aivra.health
Toronto, ON
- $100,000 to $160,000 CAD / year
- Full-time
We are looking for a motivated Software Engineer to join our growing technology team in Toronto. This opportunity is open to fresh graduates and experienced professionals who are passionate…
Added 17 days ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…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…
Added 17 days ago
C
AI Engineer
Cognizant
Toronto, ON
- Full-time
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 17 days ago
II
Sr.Data Engineer
ITC Infotech
Vancouver, BC
- $120,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in SQL and Python, and modern data engineering patterns (batch/streaming concepts, data modeling, orchestration).

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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