Data Engineer II

SaaS product and pricing platform provider that simplifies core modernization for top banks worldwide
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
4+ years of experience
Finance · Enterprise SaaS

Description For Data Engineer II

Founded in 2002, Zafin is a leading SaaS product and pricing platform provider that helps top banks worldwide modernize their core systems. The company is seeking a product-focused Senior Data Engineer to join their team in Toronto. This role involves building and maintaining the cloud-based data stack powering Zafin Analytics, with a focus on security, DataOps, data modeling, and data integration.

The position requires deep technical expertise in data engineering, working with cloud-based data warehouses, and implementing scalable data pipelines. You'll be responsible for everything from data ingestion to transformation, quality monitoring, and analytics product development. The ideal candidate should have 4+ years of data engineering experience, strong programming skills in Java or Python, and expertise in working with large datasets.

Zafin offers a collaborative work environment with a hybrid model (3 days office, 2 days remote) and comprehensive benefits including bonus potential, generous PTO, and professional development opportunities. The company has a strong presence globally with offices in multiple countries and serves major clients like ING, CIBC, HSBC, and Wells Fargo.

This role is perfect for someone who is passionate about building high-tech products, comfortable with ambiguity, and eager to make an impact through data engineering. You'll be working on critical data infrastructure that powers financial technology solutions used by major banks worldwide, making this an excellent opportunity for career growth in the fintech sector.

Last updated 15 days ago

Responsibilities For Data Engineer II

  • Build pipeline to ingest data from source systems to cloud-based data warehouse
  • Develop analytics product from prototyping to production-quality code
  • Implement processes to monitor data quality and pipeline health
  • Implement test cases for data pipelines and data-intensive applications
  • Define and extend data model for analytics use-cases
  • Contribute to analytics strategy and data infrastructure stack setup
  • Apply software engineering best practices to analytics code

Requirements For Data Engineer II

Java
Python
  • Bachelor of Computer Science or related technical field
  • 4+ years of experience as a Data Engineer
  • Experience with Java or Python
  • Demonstrated expertise in engineering data-intensive applications
  • Ability to work with large datasets and establish scalable data pipelines
  • Schema design experience for cloud-native data warehouses
  • Experience with Infrastructure as Code

Benefits For Data Engineer II

Medical Insurance
  • Annual bonus potential
  • Generous paid time off
  • Paid volunteering days
  • Wellness benefits
  • Professional growth opportunities
  • Career advancement opportunities

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