Nagarro is looking for a Senior Data Engineer (AWS Cloud) to act as the technical lead for our expanding data team. In this role, you will own the end-to-end design and development of data pipelines while collaborating closely with architects and analysts in a dynamic, non-hierarchical environment.
What You'll Do
- Lead the end-to-end design and development of data pipelines (ETL) using AWS services.
- Provide 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.
What We're Looking For
- 7+ years of experience as a Data Engineer.
- 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.
- Advanced level Python and SQL.
- General AWS Cloud expertise: IAM, networking, infrastructure, automation, cost management.
- Experience with data orchestration, metadata management, and data quality frameworks.
Nice to Have
- Experience with Veeva – specifically pharma data models or validated systems.
Technical Stack
- AWS Lambda
- AWS Glue
- AWS S3
- AWS Redshift
- AWS Athena
- Python
- SQL
Team & Environment
You will be part of a growing data team, collaborating closely with a Data Architect, Data Analyst, Data Quality Engineer, and Project Manager.
Work Mode
This role is open to candidates based in Eastern Europe.
Nagarro is an equal opportunity employer.
