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This job posting highlights the most critical responsibilities and requirements of the job and is not all-inclusive. There may be additional duties, and responsibilities assigned for this…

Capgemini

Fabric Data Engineer

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $83,951 to $155,928. · Full-time

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Job details

Pay: The base compensation range for this role in the posted location is $83,951 to $155,928.
Job type: Full-time
Apply by: Nov 17, 2026
Experience: Experience - 7 to 9 Years Data Engineering experience with 3+ years of hands-on Microsoft Fabric experience
Posting language: English
Posted: Oct 18, 2026

Original job description

It is mandatory to live in Vancouver no time to relocation to work hybrid in our office.

Experience - 7 to 9 Years Data Engineering experience with 3+ years of hands-on Microsoft Fabric experience

Key Responsibilities

Solution Architecture & Leadership

Design enterprise-scale data architecture using Microsoft Fabric components.

Lead technical design reviews and architecture discussions.

Establish data engineering standards, best practices, and governance frameworks.

Advanced Data Engineering

Design scalable ELT frameworks using Fabric Data Factory, Spark Notebooks, Lakehouse,

Warehouse and OneLake

Build high-volume customer data pipelines supporting batch and near real-time processing.

Implement reusable ingestion and transformation frameworks.

Optimize large-scale workloads for performance and cost efficiency.

Data Governance & Security

Design data quality frameworks and monitoring solutions.

Implement lineage, governance, and metadata management standards.

Team Leadership

Mentor junior and mid-level data engineers.

Lead code reviews and solution governance activities.

Drive Agile delivery and sprint planning activities.

The base compensation range for this role in the posted location is $83,951 to $155,928.

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

Design and lead enterprise-scale Microsoft Fabric data architectures, reusable ELT frameworks, and high-volume batch and near-real-time customer data pipelines. Establish governance, security, quality, lineage, and metadata practices; optimize workloads; and mentor engineers while leading code reviews and Agile delivery.

Requirements

Requires 7–9 years of data engineering experience, including at least 3 years of hands-on Microsoft Fabric experience. Candidates must live in Vancouver and be able to work hybrid; the role also calls for architecture leadership, data governance expertise, and experience mentoring engineers.

Skills

Microsoft Fabric
Data Engineering
Solution Architecture
Data Factory
Spark Notebooks
Lakehouse
Data Warehouse
OneLake
ELT Frameworks
Batch Processing
Near-Real-Time Processing
Data Pipelines
Data Governance
Data Quality
Metadata Management
Agile Delivery

Benefits

Paid Time Off
Vacation
Company-Paid Holidays
Personal Days
Sick Leave
Medical Coverage
Dental Coverage
Vision Coverage
Provincial Healthcare Coordination
Retirement Savings Plan
Life Insurance
Disability Insurance
Employee Assistance Program

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Data Engineering
Enterprise Data Architecture
Data Factory
Spark Notebooks
Lakehouse
Data Warehouse
OneLake
ELT
Customer Data Pipelines
Batch Processing
Near-Real-Time Processing
Data Ingestion
Data Transformation
Performance Optimization
Cost Efficiency
Data Quality
Data Monitoring
Data Lineage
Data Governance
Metadata Management
Security
Code Reviews
Agile
Sprint Planning
Technical Leadership
Mentoring

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