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Capgemini

Senior Data Warehouse Engineer

Montreal, QC, Canada

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Job details

Experience: Minimum of 4-7 years of experience in data warehousing, with significant experience in modernization and performance-focused initiatives.
Posting language: English
Posted: Oct 8, 2026

Original job description

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.

Job Description

Job Summary:
We are seeking a experienced and results-oriented Senior Data Warehouse Engineer to work our data warehouse modernization and performance optimization initiatives. The ideal candidate will possess deep expertise in database programming and enterprise job scheduling, with a strong focus on enhancing system architecture, re-platforming legacy components, and improving data process efficiency. This role requires hands-on technical skills who can drive strategic improvements while maintaining operational excellence.

Responsibilities:
Lead and execute data warehouse modernization projects, including identifying and re-platforming legacy components to more modern, scalable architectures.
Conduct in-depth performance analysis of data warehouse processes, queries, and ETL/ELT jobs to identify bottlenecks and implement strategic optimizations.
Design, develop, and maintain advanced data models, ETL/ELT frameworks, and data integration solutions.
Develop and optimize complex SQL and PL/SQL scripts, stored procedures, functions, and packages for data manipulation and transformation.
Architect, develop, and maintain robust batch processes using Shell Scripting (UNIX/Linux) to support data loads, system automation, and operational monitoring.
Utilize Control-M or similar enterprise job scheduling tools to design, manage, and monitor complex job workflows, ensuring optimal performance and reliability.
Perform comprehensive root cause analysis (RCA) on performance degradation and system failures, developing and implementing long-term preventative solutions.
Develop and enforce data warehouse best practices, coding standards, and architectural patterns.
Create and maintain detailed documentation for modernized processes, system architecture, and performance improvements.

Skills and Qualifications:
Minimum of 4-7 years of experience in data warehousing, with significant experience in modernization and performance-focused initiatives.
Expert-level proficiency in SQL for writing complex, highly optimized queries.
Extensive experience with PL/SQL for designing and developing efficient database applications and transformations in an Oracle or similar environment.
Strong expertise in Shell Scripting (UNIX/Linux) for process automation, job control, and system administration.
Proven hands-on experience with Control-M or another major enterprise job scheduler for orchestrating complex data workflows.
Understanding of data warehouse concepts, dimensional modeling, and database architecture.
Excellent analytical and problem-solving skills, with a focus on delivering high-performance, scalable solutions.
Strong communication and collaboration skills, with the ability to influence technical and non-technical stakeholders.

Preferred (Optional) Skills:
Perl: Experience with Perl scripting for data processing, reporting, and automation.
Python: Experience with Python for scripting, data manipulation, and building data pipelines.
Experience with version control systems like Git.
Incident management and change management tools experience like JIRA, ServiceNow

The base compensation range for this role in the posted location is: 80,000 - 90,909.

Capgemini 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.

Disclaimers

Capgemini 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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.

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More about this job

Responsibilities

The Senior Data Warehouse Engineer will lead modernization projects and optimize data warehouse performance by re-platforming legacy components. They are responsible for designing advanced data models, developing complex SQL/PL/SQL scripts, and managing enterprise job workflows.

Requirements

Candidates must have 4-7 years of experience in data warehousing with expert-level proficiency in SQL, PL/SQL, and Shell scripting. Strong hands-on experience with enterprise job schedulers like Control-M and a solid understanding of dimensional modeling are required.

Skills

Data warehousing
SQL
PL/SQL
Shell scripting
Control-M
ETL/ELT
Data modeling
Performance optimization
Database architecture
UNIX/Linux
System automation
Root cause analysis
Data integration
Perl
Python
Git

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Data Warehouse
Modernization
Performance Optimization
SQL
PL/SQL
Shell Scripting
Control-M
ETL
ELT
Data Modeling
UNIX
Linux
Oracle
Perl
Python
Git
JIRA
ServiceNow
Database Architecture
Root Cause Analysis
System Automation
Data Integration
Batch Processing
Dimensional Modeling
Cloud
Data
AI
Generative AI
Consulting
Technology

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