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Data Engineer

Bounteous · Montreal, QC · Hybrid · Active · Lever

Job facts

Field	Value
Company	Bounteous
Title	Data Engineer
Normalized title	-
Department / team	Data & AI & Cloud / Data & Analytics: Data Engineering
Location	Montreal, QC, Canada
Work model	Hybrid / Hybrid
Employment type	Full Time
Salary	-
Status	active
ATS provider	Lever
Posted / first seen	2026-06-11 / 2026-06-12
Changed / last seen	2026-06-12 / 2026-06-19

Related slices

Page	What it contains	Open
Company jobs	Active postings from Bounteous.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Lever.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Montreal.	Open
Department jobs	Active postings in Data & AI & Cloud.	Open
Work model jobs	Active Hybrid postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Bounteous
Source	c1f0d19a-a76c-4ce6-ac04-d70aa9734464
ATS provider	Lever

Description

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. 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. 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. 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

Full job record

Job ID	fc6d9e087f2a10560fd347ee81db732110aa95ff
Org ID	da767577-f807-4e9d-957a-9c910a177f3e
Source ID	c1f0d19a-a76c-4ce6-ac04-d70aa9734464
Board ID	c1f0d19a-a76c-4ce6-ac04-d70aa9734464
Provider	lever
Provider Job Key	a38ceb4b-110b-466b-89d1-2bec809ed199
Title	Data Engineer
Normalized Title	—
Status	active
Active	yes
Location Text	Montreal, QC
Department	Data & AI & Cloud
Team	Data & Analytics: Data Engineering
Employment Type	Full Time
Workplace Type	hybrid
Remote Policy	hybrid
Country	Canada
Region	QC
City	Montreal
Salary Raw	—
Salary Min	—
Salary Max	—
Salary Currency	—
Salary Period	—
Source URL	https://jobs.lever.co/bounteous/a38ceb4b-110b-466b-89d1-2bec809ed199
Apply URL	https://jobs.lever.co/bounteous/a38ceb4b-110b-466b-89d1-2bec809ed199/apply
First Seen At	2026-06-12 07:57:27Z
Last Seen At	2026-06-19 07:57:06Z
Last Checked At	2026-06-19 07:57:06Z
Last Changed At	2026-06-12 07:57:27Z
Inactive At	—
Source Posted At	2026-06-11 21:03:49Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=bounteous/date=2026-06-19/2026-06-19T07-57-05-717Z-654efb7ea90dc8799330876bc6fdf330eb7035ee19ada728daf4cd4220313507.json

Event Fields

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  "active_status": "active"
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Parsed Structured

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Extensions

{}

Native Structured

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    {
      "text": "Information Security Responsibilities",
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    },
    {
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    }
  ],
  "country": "CA",
  "createdAt": 1781211829379,
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  "categories": {
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    "location": "Montreal, QC",
    "commitment": "Full Time",
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