👋🏼 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.

You will act as the Technical Lead for a growing data team, collaborating closely with a Data Architect, Data Analyst, Data Quality Engineer, and Project Manager.

• Lead the end-to-end design and development of data pipelines (ETL) using AWS services.
• Provide technical leadership and mentorship to a team of Data Engineers and Analysts.
• Collaborate with the Data Architect to define data models, standards, and integration patterns.
• Ensure data quality, governance, and security compliance across all environments.
• Implement CI/CD, automation, and monitoring for scalable and reliable data workflows.
• Drive technical decision-making, balancing performance, scalability, and maintainability.

• 7–10 years of experience as a Data Engineer, including at least 2–3 years in a technical or team leadership role.
• Proven track record designing data pipelines and architectures in AWS-based environments.
• Strong expertise in data modeling, schema optimization, and performance tuning.
• Experience with data governance, lineage, and security frameworks.
• Excellent problem-solving, leadership, and communication skills.

Tech stack

• AWS Services: Lambda, Glue, S3, Redshift, Athena.
• General AWS Cloud expertise: IAM, networking, infrastructure, automation, cost management.
• Python and SQL (advanced level).
• Veeva (nice to have) – experience with pharma data models or validated systems.
• Experience with data orchestration, metadata management, and data quality frameworks.

• 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.