Data Engineer (MS Fabric)
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
Experience: 8-12+ years (with deep hands-on delivery)
Key Responsibilities
Data Platform & Fabric Engineering
• Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Data Engineering, Lakehouse).
• Build and maintain Fabric Lakehouse architectures (Bronze/Silver/Gold) optimized for marketing and BI use cases.
• Implement incremental loads, CDC patterns, and data freshness strategies for large-scale analytical datasets.
• Optimize storage formats (Delta/Parquet), partitioning, and performance tuning in Fabric.
Data Engineering & Transformation
• Develop robust data transformation logic using: PySpark / Spark SQL, SQL-based transformations
• Perform data cleansing, standardization, enrichment, and deduplication across multiple marketing and customer data sources.
• Implement data quality checks, validation rules, and anomaly detection within pipelines.
• Maintain reusable transformation frameworks and shared data assets.
Marketing & Business Data Integration
• Ingest and model data from marketing and customer platforms such as: Digital analytics (web, app, events), Campaign platforms (email, paid media, CRM, CDPs), Internal business systems (sales, finance, operations)
• Create conformed dimensions and fact tables for marketing performance, attribution, funnel analysis, and customer insights.
• Enable cross-channel reporting and identity-aware analytics.
Power BI & Semantic Modeling
• Design and optimize Power BI semantic models (datasets) for enterprise reporting.
• Build star schemas, calculation groups, and optimized DAX measures.
• Ensure report performance, scalability, and refresh reliability.
• Support self-service BI while enforcing enterprise data governance standards.
• Collaborate with analysts and business users on dashboard requirements and usability.
Governance, Security & Operations
• Implement workspace strategies, environment separation (Dev/Test/Prod), and deployment pipelines in Fabric.
• Enforce data access controls, row-level security (RLS), and sensitivity labels.
• Establish monitoring, logging, and alerting for pipeline health and data reliability.
• Document data models, pipelines, and operational runbooks.
• Participate in on-call or production support rotations as needed.
Collaboration & Leadership
• Influence data architecture decisions and analytics best practices.
• Work closely with product managers, marketing leaders, and BI teams to prioritize and deliver high-impact data products.
• Contribute to standards for data modeling, naming conventions, and pipeline design.
Required Qualifications
Core Technical Skills
• 8+ years of experience in data engineering / analytics engineering roles.
• Strong hands-on expertise with Microsoft Fabric: Lakehouse, Data Factory, Data Engineering (Spark), Workspaces and deployment pipelines
• Advanced SQL skills and experience with large analytical datasets.
• Strong experience with Power BI: Semantic models, DAX, Performance optimization
• Proficiency in PySpark or Spark SQL.
Data Engineering Fundamentals
• Deep understanding of: Data modeling (star/snowflake schemas), ETL / ELT design patterns, Incremental processing and CDC, Data quality and validation frameworks
• Experience operating data platforms in production environments.
Domain & Soft Skills
• Experience supporting marketing analytics, customer analytics, or growth analytics.
• Comfortable working in agile, fast-moving environments with evolving requirements.
• Experience with enterprise marketing stacks (CDPs, CRM, campaign tools).
• Familiarity with data governance frameworks and privacy-aware data design.
• Experience migrating from legacy BI platforms to Microsoft Fabric.
• Azure ecosystem experience beyond Fabric (Synapse, ADLS, etc.)."
The base compensation range for this role in the posted location is: 105,000 - 115,000
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.
New York, NY, US
Nearest Major Market: Manhattan
Nearest Secondary Market: New York City