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Senior Data Engineer (AWS and Python)
Direct Hire: Toronto, Ontario, CA
Salary Range: 130000.00 - 150000.00 | Per Annum
Job Code: 365398
End Date: 2025-11-08
Days Left: 25 days, 4 hours left
Title: Senior Data Engineer
Client: Investment Industry
Duration: Full-time, Permanent
Location: Toronto, ON
Work Model: Hybrid – 3 day/week in office
Function: Data Platforms/Engineering
Compensation and Benefits:
- Competitive Base Salary Range
- Bonus: 15% incentive
- Benefits: Standard health, dental, vacation, and personal day package (aligned with firm policy)
What They Will Accomplish (High-Level):
- Own and enhance critical components of the enterprise data ecosystem.
- Deliver scalable, high-quality data pipelines and products to power analytics and decision-making.
- Partner with investment and product teams to translate business needs into data-driven features.
- Strengthen engineering excellence and advocate for DevOps and data quality best practices.
- Support the evolution of the firm’s enterprise data strategy and sustainable data initiatives.
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 Speciality (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.
Team Structure & Collaboration:
- Reports into Data Platforms / Engineering under Deana Wang.
- Collaborates closely with Lead Engineer (US-based) and Mahesh (MD).
- Works cross-functionally with data scientists, product owners, and investment teams.
- Supports multiple lines of business, particularly Capital Markets and Alternative Investments.
Non-Technical Qualities:
- Strong business acumen — able to understand investment workflows and build data solutions aligned to business needs.
- Ability to operate end-to-end: from requirement gathering to production deployment.
- Communicative and collaborative, comfortable working with technical and non-technical stakeholders.
- Curious, proactive, and driven to deliver beyond the scope of assigned tasks.
Job Requirement
- data engineer
- AWS
- python
- big data
Reach Out to a Recruiter
- Recruiter
- Phone
- Shashank Rathod
- shashank.rathod@collabera.com
Apply Now
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