Department: Development - Software Development

Employment Type: Permanent - Full Time

Location: Montreal, Canada

Reporting To: Paul Tartarian

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.

More about the role & team
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.

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.

What skills and experience do I need to succeed?

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

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

What do we offer?
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 adaptable working options for all employees.

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

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.

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📌 Senior Data Engineer (Quebec City)
🏢 Confluence
📍 Quebec City