Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
Job Description

• Architect and implement end-to-end data solutions using Microsoft Fabric.
• Define data ingestion, transformation, and modeling strategy using Lakehouse/Warehouse.
• Build scalable ETL/ELT pipelines using Data Factory, Spark, and Dataflows Gen2.
• Design enterprise semantic models and govern Power BI datasets.
• Implement security, governance, and compliance frameworks.
• Collaborate with business teams to translate requirements into architectures.
• Lead technical teams and establish best practices for Fabric usage.
• Optimize Lakehouse performance, storage layer, and reporting models.
  

Qualifications

• Minimum +8 years of experience in data engineering roles.
• Data Modeling – Strong expertise in designing and optimizing data models.
• ETL Concepts – Strong understanding of ETL/ELT principles and best practices.
• Microsoft Fabric – Hands-on experience with Fabric components and architecture.
  

Additional Information
Nice To Have Skills

• EA Governance – Strong knowledge of enterprise architecture governance frameworks.
• OneLake – Familiarity with OneLake storage and optimization strategies.

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