At a Glance
- Tasks: Design and deliver scalable data solutions that drive decision-making across the organization.
- Company: Join Confluence, a global leader in investment data innovation.
- Benefits: Generous time off, global career development, and social events.
- Other info: Flexible working options and opportunities for mentorship and leadership growth.
- Why this job: Tackle meaningful data challenges and influence engineering standards.
- Qualifications: Solid Python and SQL skills, experience with ETL pipelines and cloud platforms.
The predicted salary is between 90000 - 110000 $ per year.
Location: Montreal, Canada
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.
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.
- 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.
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?
- Generous Time Off packages including additional half days with each public holiday in your location.
- Global Career Development opportunities
- Social Events
- Referral Bonus scheme - Up to $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
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.
Senior Data Engineer in Montréal employer: Confluence
At Confluence, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture in the heart of Toronto. As a Senior Data Engineer, you will not only have the opportunity to design scalable data solutions but also mentor fellow engineers, ensuring continuous professional growth. With access to modern tools and a commitment to knowledge sharing, Confluence offers a dynamic environment where your contributions directly impact decision-making and the success of our teams.
