👋🏼 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.

We are looking for an experienced Senior Data Engineer with a 6–8 years background in designing, building, and optimizing data pipelines in AWS environments.

• Design, build, and maintain ELT pipelines that collect, transform, and load data from various sources.
• Ensure data integrity, accuracy, and consistency across systems.
• Collaborate with the Data Architect and Data Analyst to design optimal data models and integration solutions.
• Implement data governance, performance optimization, and security best practices.
• Automate workflows and contribute to standardizing data engineering processes.
• Support rollout scalability for additional countries and business units.

• 6–8 years of experience as a Data Engineer or similar data-focused role.
• Proven expertise in data pipeline design and development using AWS tools and services.
• Solid understanding of data modeling, schema design, and optimization techniques.
• Experience with data quality frameworks and metadata management.
• Excellent analytical and communication skills.

Tech stack

• AWS Services: Lambda, Glue, S3, Redshift, Athena.
• General AWS Cloud experience: IAM, networking, cost optimization, and automation.
• Veeva (nice to have) – exposure to pharma-related data or validated systems.
• Python and advanced SQL for data transformation and orchestration.

• Previous experience in pharma, healthcare, or regulated environments (GxP/CSV)
• Familiarity with data governance or data catalog tools.
• Remote (EU-based) with occasional short trips to Italy.
• Employment contract: CIM.