We are seeking an experienced Microsoft Fabric Data Engineer to design, build, and maintain scalable data solutions that support enterprise reporting, analytics, and business intelligence initiatives.
Working closely with business stakeholders, analysts, and technical teams, you will develop end-to-end data pipelines and analytics-ready datasets using Microsoft Fabric. You will play a key role in ensuring data solutions are reliable, secure, high-performing, and aligned with governance standards while delivering value within an Agile environment.
Key Responsibilities
- Design, develop, and maintain data solutions using Microsoft Fabric.
- Build and optimize end-to-end data ingestion, transformation, and delivery pipelines.
- Develop and manage Fabric Dataflows, Lakehouses, and Warehouses.
- Create analytics-ready datasets that support reporting and business insights.
- Collaborate with business and technical stakeholders to translate requirements into scalable data solutions.
- Ensure data quality, reliability, governance, and accessibility across the platform.
- Optimize platform performance, scalability, and cost efficiency.
- Participate in Agile ceremonies and contribute to continuous improvement initiatives.
Required Experience & Skills
- Proven experience delivering data engineering solutions using Microsoft Fabric.
- Strong expertise in:
- Data Pipelines, Dataflows, Lakehouse, and Warehouse architecture
- ETL/ELT design and implementation
- Data modelling, including dimensional modelling and star schema design
- Large-scale data processing and analytics environments
- Advanced SQL skills and experience with Python and Spark for data transformation.
- Experience with Azure data services, including:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake
- Strong analytical, troubleshooting, and problem-solving capabilities.
- Ability to deliver high-quality solutions within Agile delivery teams.
Preferred Qualifications
- Experience within financial services or other regulated industries.
- Knowledge of data governance, security, and performance optimization best practices.
- Microsoft Fabric or Azure data certifications.
What We're Looking For
A hands-on Data Engineer who combines strong technical expertise with a business-focused mindset. You are passionate about building scalable, well-governed data solutions and have a proven ability to deliver reliable, high-quality outcomes in fast-paced Agile environments.
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Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
