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Propel Holdings

Analytics Engineer, Risk

  • Toronto, ON
  • On-site
  • Posted Sep 18, 2026
  • 1 position

$80,000–$110,000 / year

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week

Job summary

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.

Job details

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. 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.

What you’ll do

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.

Benefits

  • Competitive salary
  • Health benefits
  • Comprehensive vacation package
  • Group health and dental benefits
  • Group RRSP program
  • Support for new parents

Listed skills

  • Kubernetes · Preferred
  • SQL · Preferred
  • Docker · Preferred
  • Machine learning · Preferred
  • Amazon Web Services · Preferred
  • Git · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • 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

Job areas

  • Data & Analytics
  • Technology
  • Engineering
  • Finance & Accounting
  • Software

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