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Quantitative Data Engineer Jobs in Toronto, ON (NOW HIRING)

Data Intellect

Senior kdb+ Engineer

Toronto, ON · Hybrid

As a Senior kdb+ Engineer at [DI] you'll be at the forefront of delivering high-performance ... series data. * Collaborate with quants, traders, and analysts to translate business needs into ...

Cogeco

Data Scientist

Burlington, ON · On-site

Engineer features by using your business acumen to find new ways to combine disparate internal and ... Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2 years ...

Stripe

Data Scientist, Fraud

Toronto, ON · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics ...

Ci

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Partner with Data Engineers to support the successful implementation of solutions. QUALIFICATION REQUIREMENTS: Experience * 2+ years of work experience in quantitative analysis. Education/Training

Manulife

Senior Data Scientist

Toronto, ON · Hybrid

D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field. * 5+ years of hands on industry experience in developing probabilistic models ...

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Quantitative Data Engineer information

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

What are popular job titles related to Quantitative Data Engineer jobs in Toronto, ON?

For Quantitative Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Quantitative Data Engineer jobs in Toronto, ON are:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 2% As Needed, 91% Full Time, 5% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior kdb+ Engineer

Data Intellect

Toronto, ON • Hybrid

Full-time

Re-posted 21 days ago

Job description

Company Description

Join the world’s largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance.

At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We’re a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos.

If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you.

Job Description

As a Senior kdb+ Engineer at [DI] you’ll be at the forefront of delivering high-performance, scalable solutions for some of the world’s most data-intensive financial institutions. You’ll:

  • Lead technical delivery on client projects, setting the standard for quality and performance.
  • Design and implement robust kdb+ architectures that handle billions of rows of time-series data.
  • Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code.
  • Mentor and guide junior and mid-level developers, fostering a culture of technical excellence.
  • Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications
  • Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies.
Qualifications

What You Bring

  • 5+ years of hands-on kdb+ development, with deep expertise in q and time-series data.
  • Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production.
  • Strong background in Unix/Linux environments and scripting.
  • Demonstrated technical leadership and decision-making in fast-paced projects.
  • Excellent communication skills to explain complex systems to both technical and non-technical stakeholders.
  • Experience in capital markets or investment banking, understanding of the domain and its demands.
  • A passion for clean, performant code and continuous improvement.

Bonus Points For:

  • Experience with AI tooling (Claude, Co-Pilot)
  • Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
  • Exposure to tick data, real-time analytics, electronic trading systems.
  • People management or team leadership experience.

Additional Information

Why Join Data Intellect?

  • Hybrid & flexible working – balance your time between home and our global offices.
  • Global opportunities – work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.
  • Continuous learning – day one access to paid training, certifications and leadership development.
  • Clear progression pathways – biannual promotion cycles and monthly 1:1s to excel your career growth and development.
  • Healthcare & wellbeing – provider dependent on region.
  • Flexible, increasing holiday allowance – option to work bank holidays providing greater flexibility in holiday usage
  • Generous referral bonuses, exciting social events and so much more – we work hard and celebrate harder.

Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk and analytics for some of the world’s most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We’re growing, fast!

Fair Employment & Equal Opportunities

We’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.

Ready to lead the next generation of high performance kdb+ solutions?

Challenge Accepted. Apply now.