data engineer for GenAI products

Efficio is the world’s largest procurement consultancy, transforming into a technology-first company and building the intelligent backbone for its GenAI and LLM products.

• Collaborate on the design of scalable cloud infrastructure using Terraform to provision AWS resources, including ECS, Lambda, and S3, with a focus on resilience and reproducibility;
• Build high-performance, maintainable Python applications with strict dependency management, comprehensive error handling, and high test coverage;
• Own the complete data journey from ingestion to consumption;
• Design API layers and backbones required to integrate GenAI into production.

• Have 2–5 years of hands-on experience in Data Engineering or Backend Software Engineering;
• Write Python functions and handle JSON/API data;
• Use libraries such as Pandas and PyArrow;
• Understand the difference between a script and a software module;
• Have experience with SQL and understand database concepts including Primary Keys, Joins, and Data Types;
• Prefer writing code over using drag-and-drop ETL tools;
• Be eager to learn DataOps practices, including Docker, Git, and CI/CD;
• Nice to have: experience with AWS or equivalent cloud providers, familiarity with IaC concepts such as Terraform, experience deploying LLMs or working with RAG architectures, experience with FastAPI or building data-serving APIs, background in SRE or DevOps.

• AWS Certification sponsorship and mentorship from Principal Architects;
• The hiring process may include AI-assisted application review, resume analysis, response assessment, and identification of inconsistencies or verification signals.