Senior Data Engineer

Montreal, QC
Permanent
Full-time

5 days ago

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Role Overview:The role focuses on designing, building, and maintaining Python-based APIs for structured, semi-structured, and unstructured data ingestion to support consumption by the Independent Testing Framework and the Model Review process, driven by Model Tier classification.
The position plays a critical role in enabling data availability, traceability, and governance across model risk and validation platforms, while leveraging Azure cloud-native services and AI coding agents to accelerate delivery and ensure high-quality engineering standards.Key Responsibilities:

Designing and developing Python-based APIs to ingest structured, semi-structured, and unstructured data
Enabling data ingestion pipelines for consumption by the Independent Testing Framework and Model Review platforms, aligned to Model Tiering logic
Supporting ingestion of diverse data sources including files, model artifacts, metadata, documents, logs, and validation evidence
Designing scalable and resilient ingestion services that handle high-volume and diverse data formats
Implementing data validation, transformation, enrichment, and routing logic as part of ingestion workflows
Ensuring data lineage, auditability, traceability, and governance to meet Model Risk Management (MRM) expectations
Leveraging Azure cloud services for storage, compute, integration, and security
Ensuring API designs align with enterprise architecture, security, and compliance standards
Collaborating with model validation teams, independent testing teams, data scientists, architects, and DevOps
Participating in technical design discussions, architecture reviews, and code reviews
Supporting end-to-end delivery including development, testing, deployment, and production support
Actively leveraging AI coding agents to improve development productivity, code quality, testing, and documentation

Required Technical Skills:

Expert-level experience in Python development
Strong experience building RESTful APIs and backend services using Python
Hands-on experience handling structured, semi-structured, and unstructured data ingestion
Solid understanding of data ingestion patterns, data validation, and transformation techniques
Strong understanding of Azure cloud stack, including:

Azure compute services
Azure storage options
Azure integration and security services
Experience working with enterprise-scale data platforms
Familiarity with Agile and DevOps delivery models

Model Risk, Data & Platform Knowledge:

Understanding of Model Risk Management (MRM) concepts and controls
Experience supporting independent testing, model validation, or model review workflows
Awareness of Model Tiering and its impact on data, validation, and governance requirements
Prior exposure to regulated or financial services environments is strongly preferred

AI Coding & Productivity (Must-Have Requirement):

Actively using AI coding agents, including:

AMP
Claude Code
Demonstrating hands-on usage of AI tools for:

Code generation and refactoring
Test case creation
Documentation and developer efficiency
Practicing responsible and secure AI-assisted development

Soft Skills & Collaboration:

Demonstrating excellent communication skills
Collaborating effectively across cross-functional and geographically distributed teams
Clearly articulating technical solutions to both technical and non-technical stakeholders
Taking ownership and operating independently at an expert engineering level
Expert-level role, requiring deep technical expertise and strong ownership of design and implementation

The base compensation range for this role in the posted location is: 90,909 to 100,000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.DisclaimersCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an Applicant in the United States.Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.Ref. code: 453768Posted on: Apr 10, 2026Experience Level: Experienced ProfessionalsContract Type: PermanentLocation:Montreal, CABrand: CapgeminiProfessional Community: Data & AI

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