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Senior Backend Engineer to support Fintech Company

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Permanent job

  • Starting date : 1 position to fill as soon as possible

Location: Toronto, ON - 4-5 days a week

Hours: 37.5


Day-to-Day (D2D)
  • Design and build a scalable reporting and compliance platform, transforming existing exports into an intelligent data insights system.
  • Source, clean, and analyze data to support business users in generating self-service reports without developer involvement.
  • Work on data lake architecture, ETL pipelines, and data integration across trading, risk, and operational systems.
  • Implement and optimize backend systems for data ingestion, reconciliation, and reporting.
  • Improve platform reliability through better logging, metrics, and monitoring.
  • Contribute to overall architecture and design decisions as the reporting engine is rebuilt for scalability and maintainability.
  • Hybrid role based in Toronto (4-5 days/week initially for ramp-up; transitions to 3-4 days/week).

Must-Haves
  • 7+ years of backend engineering experience, ideally in data-heavy or financial systems.
  • Strong experience with data lakes, ETL pipelines, and data modeling.
  • Hands-on with Power BI, Elasticsearch (Kibana), and other analytics tools.
  • Expertise in Kafka (event-driven systems) and AWS services (Athena, Redshift, S3, Lambda, etc.).
  • Familiarity with data marts and data architecture best practices.
  • Solid experience with SQL and NoSQL databases.
  • Strong understanding of system design, scalability, and performance optimization.
  • Excellent collaboration and problem-solving skills; able to work closely with product and engineering teams.


Nice-to-Haves / Plusses
  • Background in fintech, trading, or reporting systems.
  • Knowledge of Terraform, Docker, Kubernetes, and Infrastructure as Code.
  • Experience with information theory or data visualization principles.
  • Familiarity with Athena, Redshift, and AWS analytics tooling.
  • Prior experience rebuilding or consolidating data platforms from legacy systems.
  • Interest or experience in blockchain or decentralized technologies.
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