Data Engineer
Bounteous · Montreal, Canada ·
- Work mode
- Hybrid
- Category
- Data engineering
- Experience
- 3+ years
Bounteous · Montreal, Canada ·
Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.
The candidate will join a team responsible for building scalable, high-performance databases and components that support regulatory, business analytics (metrics reporting), and operational risk reporting. This global team is made up of highly technical members who can move comfortably between hands-on development and project management. We run multiple projects across several business areas at the same time. Because the business owners and subject matter experts are spread across the globe, strong, proactive communication is essential. You will be expected to collaborate closely with our operations partners to define project requirements. Development follows an agile methodology grounded in Scrum (timeboxing, daily scrum meetings, retrospectives, and so on), Kanban Jira boards, and XP best practices (continuous integration, refactoring, unit testing, and so on). The candidate should be comfortable working collaboratively as part of a larger team.
Information Security Responsibilities Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Responsibilities: Design and build scalable ETL pipelines to ingest, transform and load large volumes of OTC derivatives data for downstream reporting and analytics.
Develop and optimize database objects, stored procedures and batch processes that support ETL workflows, report generation and data delivery.
Design data models, schemas, SQL views and stored procedures to support efficient ETL processing and regulatory, operational and business reporting.
Build and maintain real-time and batch ETL pipelines for trade and confirmation data ingestion, transformation, reconciliation and report-ready data provisioning.
Support data migration and onboarding activities by building validation routines, reconciliation checks and ETL cutover processes to ensure reporting continuity.
Develop, automate and support regulatory and business reports using Python, SQL stored procedures and enterprise reporting platforms such as Business Objects and Tableau.
Write complex SQL queries, stored procedures and reusable reporting logic to generate accurate, timely outputs for business users and regulatory consumers.
Ensure strong data controls, access governance and quality checks across ETL pipelines, reporting datasets and database environments.
Participate in Agile delivery and contribute to automation, scheduling and CI/CD practices for ETL jobs, reporting workflows and production deployments.
Provide production support for ETL and reporting processes, including job monitoring, issue triage, data reconciliation and root cause analysis.
Requirements: 3-5 years of experience in ETL and reporting development
3-5 years of experience with SQL and writing stored procedures
3-5 years of experience building ETL pipelines 3-5 years of experience in Snowflake and DB2 databases.
Strong knowledge of SQL for reporting and data analysis Have Worked in Agile, DevOps and Git
3-5 years of experience with Python for ETL and report generation
Perform of data validation and reconciliation. Knowledge of reporting tools such as Business Objects or Tableau is good to have. Experience in cloud platforms (Azure/GCP/AWS) good to have
We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. For employment opportunities based in Canada: Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates. *Must be legally eligible to work in Canada.