Senior Analyst - Data Engineering

NasdaqToronto, ON
Hybrid

About The Position

As a Senior Data Engineer reporting to the Director of Data Science, you'll play a critical role in building and scaling innovative data products that power some of the world's most successful financial organizations — from traditional market data to cutting-edge alternative data sources. You'll thrive in this position if you're curious, data-driven, and collaborative, with a passion for financial technology and a drive to deliver reliable, high-quality solutions in a fast-moving environment.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related STEM field, or equivalent practical experience.
  • 2–4 years of experience in data engineering, with hands-on proficiency in Python, SQL, PySpark/Spark, Java, and shell scripting.
  • Experience working with cloud and big data platforms such as AWS (S3/EC2) and Databricks in a Linux environment.
  • Solid understanding of version control practices using Git or equivalent tools.
  • Strong communicator with the ability to collaborate effectively across technical and non-technical teams.

Nice To Haves

  • Proven knowledge of financial markets data, including equities pricing, volumes, and fundamentals.
  • Experience building or maintaining financial data products in a production environment.
  • Familiarity Kafka in a data engineering context.

Responsibilities

  • Design, build, and maintain scalable data pipelines — covering ingestion, transformation, enrichment, and delivery of financial and alternative datasets.
  • Partner with Data Science, Product Management, and Engineering teams to develop and launch new data products.
  • Ensure the quality, accuracy, timeliness, and completeness of data products through robust monitoring and quality frameworks.
  • Contribute to the onboarding of new data sources, including exchange data and non-traditional alternative data (e.g., satellite imagery, consumer transactions).
  • Support continuous improvement of existing data products and infrastructure to enhance performance and reliability.

Benefits

  • competitive rewards package
  • generous annual bonus/commission (short-term incentive)
  • equity (long-term incentive)
  • comprehensive benefits
  • opportunity for growth
  • You&Q, our total rewards program
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