Senior Data Engineer (Ontario)

Senior Data Engineer (Ontario)

30 Sep
|
Style Analytics
|
Ontario

30 Sep

Style Analytics

Ontario

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

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 prospect 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

A pplicants 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

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!

We offer flexible 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

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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📌 Senior Data Engineer (Ontario)
🏢 Style Analytics
📍 Ontario

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