Microsoft Fabric Data Engineer

Cognizant Romania is home to 2400+ creative technologists and is one of Eastern Europe's largest Software Product Engineering delivery networks. We serve global clients in several industries, including Banking & Financial Services, Insurance, Healthcare & Life Sciences, Communication Media & Technology, and Retail & MLEU (manufacturing, logistics, energy & utilities).
Cognizant Romania was established in 2018 when Cognizant acquired Softvision, a company founded in the late 1990s in Cluj-Napoca, Romania. We continue to build on our history as the preferred engineering partner for thriving Silicon Valley tech companies, now as a prominent Cognizant next generation studio.
We are looking for exceptional Microsoft Fabric Data Engineers to work with our cross-functional team and join our world-class community of talented experts in Romania.
The role is responsible for the design, development, and maintenance of scalable data solutions using Microsoft Fabric.
The role focuses on building end-to-end data pipelines, working with business users and technical teams to deliver analytics-ready datasets using Agile principles.
The role requires strong expertise in Fabric data engineering capabilities, applying both technical and business knowledge to develop robust, performant, and governed data solutions.
Main responsibilities:
Collaborate with business users and technical teams to understand requirements
Design and implement data ingestion, transformation, and delivery pipelines
Ensure performance, and scalability of solutions
Apply a structured and timely approach to delivery with high-quality standards
Demonstrate strong analytical and problem-solving skills
Design, develop and maintain data pipelines within Microsoft Fabric
Build and optimise ETL/ELT processes for analytics consumption
Develop and maintain Fabric Dataflows, Lakehouse and Warehouse
Ensure data is accessible, reliable and governed across platforms
Optimise performance and cost of data platforms
Work within Agile teams and participate in sprint ceremonies
Requirements:
Microsoft Fabric (Dataflows, Lakehouse, Warehouse)
Azure Data Services (Synapse, Data Factory, Data Lake)
SQL (advanced) and Python/Spark for data transformation
Strong understanding of data modelling (e.g. star schema)
Experience building scalable data pipelines for large datasets
Experience in financial services data environments (desirable)
Cognizant Romania Employee Benefits:
Flexible Work Schedule – Outside of core working hours, you have the flexibility to arrange your schedule in a way that best suits your personal and professional needs.
Flexible Hybrid Approach – We support a hybrid working model that helps you balance remote and office work. Employees based near a Cognizant office are expected to spend a minimum of 4 days per month onsite.
Annual Leave – Enjoy 26 vacation days each year to relax, recharge, travel, and spend quality time with family and friends.
Learning & Development – Access a wide range of training programs, workshops, certifications, and continuous learning opportunities to support your professional growth.
Private Medical Insurance – Comprehensive healthcare coverage for your wellbeing and peace of mind.
Employee Assistance Program (EAP) – Confidential professional support services to help you navigate personal, emotional, financial, legal, or work-related challenges.
Meal Tickets – Monthly meal allowance provided through meal vouchers.
Referral Bonus Program – Help us grow our team and be rewarded for successful referrals.
Life Insurance – Additional protection and financial security
Banking Benefits – Preferential banking services and financial products through our partner institutions.
Bookster Library – Access thousands of books, audiobooks, and learning resources to support both personal and professional development.
Please note that only suitable candidates will be contacted. Cognizant and its affiliated companies are firmly committed to protecting your privacy. This Candidate Privacy Notice provides you with all the details on what we do with Personal Information we collect during and after the recruitment process.

Work arrangement
Yes