Title: Senior Data Engineer

Duration: Full-time, Permanent

Location: Toronto, ON- Hybrid – 3X/Week in office

Start Date: ASAP

Compensation and Benefits: $130K–$140K & Benefits: Standard health, dental, vacation, and personal day package (aligned with firm policy)

Interview Process: 3 Rounds

Day-to-Day Responsibilities:

• Design, build, and maintain scalable, efficient data pipelines integrating data from various market sources (Bloomberg, Morningstar, Nasdaq, etc.).
• Manage production systems and automate workflows to reduce resolution times.
• Implement data quality monitoring, governance, and privacy standards in alignment with enterprise policies.
• Collaborate with data scientists, analysts, and product teams to deliver reliable, well-documented datasets.
• Support adoption of DevOps culture, building automation and reliability into data operations.
• Stay up to date on emerging data engineering tools and methodologies.

Must-Haves:

• Bachelor’s degree or college diploma in Computer Science, Engineering, or related field.
• 4+ years of hands-on data engineering experience.
• Strong proficiency with AWS data stack: EMR, Glue, Lake Formation, Airflow, PySpark, Trino, Hudi, Iceberg.
• Proficiency in Python and SQL.
• Experience with Big Data concepts - change data capture, data quality, data lineage.
• Knowledge of data governance and quality frameworks.
• AWS Certified Data & Analytics Specialty (or equivalent).

Nice-to-Haves / Plusses:

• Experience working with carbon emissions or ESG datasets.
• Familiarity with enterprise data architecture and governance frameworks.
• Prior experience in financial services or capital markets (highly preferred).
• Understanding of market data vendors (Bloomberg, Capital IQ, S&P, Morningstar).
• Exposure to Scala or additional data engineering languages.