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Added 22 mins ago
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Full-time
Proficiency in SQL, Python, or similar data analysis tools
Added 22 mins ago
Senior Data Engineer
Style Analytics
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…engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable…
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Toronto, ON
$75,000 to $85,000 CAD / year
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Added 3 hours ago
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Strong data engineering experience, including SQL and at least one distributed processing framework.
Added 6 hours ago
Senior Business Systems Analyst
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Toronto, ON
Full-time
Really Good SQL knowledge to query databases in order to complete data analysis. Worked closely with in-memory or relational databases to provide data services to other IT partners or…
Added 6 hours ago
Senior Software Developer - SQL/Python
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Toronto, ON
Full-time
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Added 6 hours ago
Epic Bridges and CorePoint Consultant
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Style Analytics

Senior Data Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 3, 2026
Posting language: English
Posted: Sep 22, 2026

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Original job description

Location - Pittsburgh, Boston, Toronto or Montreal

Why Confluence?

At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.

We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.

You’ll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code.

Why Join Us?

Work on meaningful data challenges that have real business impact
Collaborate with a supportive and knowledgeable team
Opportunity to influence architecture and engineering standards
Grow your leadership skills through mentoring and project ownership

Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.

Essential Experience

Solid Python experience in a data engineering environment
Advanced SQL skills and hands-on experience with Snowflake
Experience designing and running production-grade ETL pipelines at scale
Exposure to cloud platforms such as AWS, Azure, or GCP
Ability to take ownership of work end-to-end, from design through to deployment and monitoring

Nice to Have

Experience working with financial or regulated data environments
Familiarity with orchestration tools such as Airflow or AWS Step Functions
Exposure to streaming or near real-time data pipelines

Benefits

Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:

🕚 Generous Time Off packages including additional half days with each public holiday in your location.

🌎 Global Career Development opportunities

🎊 Social Events

💵 Referral Bonus scheme - Upto $3,000 per successful referral

🚀 Plus many more!

More about the Location

We offer flexible working options for all employees.

Values

We look for people who align with our 4 values.

Integrity

Face reality with honesty, courage and accountability

Imagination

Deal creatively with challenges and envision what the world could be

Discipline

Build good habits into reflexes which become a part of our life

Service

Committed to the success of others

If you would like to find out more about a Career at Confluence, please apply today.

If you believe that this job posting is noncompliant, please email us at [email protected].

Pre-Employment Screening Disclaimer

As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.

Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.

As a leading global technology solutions provider to the investment management industry, Confluence helps clients solve complex investment data challenges across the front, middle and back office. Headquartered in Pittsburgh, PA, Confluence services over 1000 clients in 40 countries, with locations across Europe, North America, South Africa, Australia and Asia.

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More about this job

Responsibilities

You will design and deliver scalable data solutions while taking ownership of key components of the data platform. Additionally, you will collaborate with cross-functional teams and mentor other engineers to ensure high-quality data pipelines.

Requirements

Candidates must have solid Python experience, advanced SQL skills, and hands-on experience with Snowflake. You are also expected to have experience building production-grade ETL pipelines and working with cloud platforms like AWS, Azure, or GCP.

Skills

Python
SQL
Snowflake
ETL pipelines
AWS
Azure
GCP
Data engineering
Cloud platforms
Data architecture
Mentorship
Airflow
AWS Step Functions
Streaming data
Financial data

Benefits

Generous time off packages
Global career development opportunities
Social events
Referral bonus scheme

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Snowflake
ETL
AWS
Azure
GCP
Cloud Platforms
Data Pipelines
Airflow
AWS Step Functions
Financial Data
Investment Data
Architecture
Mentorship
Data Platform
Scalable Solutions
Production-grade
Streaming Data

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