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
We are seeking a Senior Data Engineer to support large-scale analytics and data transformation initiatives within a global consulting and life-sciences environment.

• Design, build, and maintain DBT models to transform raw data into validated, analytics-ready datasets.
• Develop and optimize end-to-end ETL pipelines, ensuring data quality, reliability, and performance.
• Maintain DBT projects with proper version control, documentation, reviews, and CI/CD integration.
• Collaborate with data engineering, analytics, and business teams to understand data needs and ensure robust data flows.
• Implement data quality checks, testing, and validation processes.
• Ensure pipelines are scalable, well-structured, and aligned with governance and platform standards.
• Support troubleshooting, optimization, and continuous improvement initiatives.
  

Qualifications

• Minimum 5+ years of experience in Data Engineering or Analytics Engineering roles.
• Strong hands-on experience with DBT Core or DBT Cloud.
• Proven background designing and maintaining ETL workflows.
• Expert Python skills for data manipulation, automation, and transformations.
• Exposure to CI/CD (GitHub Actions, GitLab, Jenkins, etc.).
• Ability to work in international teams across time zones (US Central Time collaboration required).
• Strong analytical mindset, structured communication, and problem-solving skills.
  

Additional Information
Client Industry: Global Consulting & Life Sciences.
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