GenAI Data Platform Engineer

Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can continue to grow, belong, and thrive.

Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team.

Your day at NTT Data

Build and operate enterprise data platforms and pipelines that make structured and unstructured data usable by GenAI applications. Bring strong data engineering skills, practical cloud experience and familiarity with AI tools. Work with the existing Cloud, AI and Security teams to deliver reliable, scalable and cost-efficient solutions.

KEY RESPONSIBILITIES

• •Build data pipelines. Implement ingestion, transformation and integration workflows; orchestrate scheduled or incremental processing, retries and recovery.
• •Develop data platforms. Implement lakehouse or warehouse solutions on the selected platform; structure data, schemas and metadata for reliable downstream use.
• •Prepare data for GenAI. Process enterprise documents, preserve source traceability and permissions, and connect data to embedding, indexing and retrieval services with AI engineers.
• •Integrate services. Connect LLM APIs and GenAI tools to data workflows and applications using the existing cloud environment and approved access patterns.
• •Improve quality and efficiency. Monitor data quality, pipeline failures, latency, throughput and cost; improve retrieval relevance with AI engineers against agreed examples.
• •Deliver maintainable systems. Version code and configuration, automate tests and releases, troubleshoot incidents, and document designs, runbooks and handover.

MUST HAVE - CORE REQUIREMENTS

• •Production data engineering. 5+ years in data engineering, data platforms or related software engineering, including hands-on delivery and support of production data pipelines.
• •Python, SQL and data design. Practical ETL/ELT, data modelling, orchestration, API integration, data quality checks and metadata management.
• •One data platform. Hands-on implementation with Databricks, Snowflake, Microsoft Fabric or an equivalent enterprise data platform; explain your own delivery contribution.
• •One cloud. Practical Azure, AWS or GCP experience for data workloads, including storage, service connectivity, identity/access and secrets management.
• •Engineering and AI fundamentals. Git, CI/CD, logs/metrics and troubleshooting; familiarity with LLM APIs and AI tools, plus understanding of RAG, embeddings and retrieval data flows.
• •Collaboration. Clear technical documentation and communication; relevant degree or equivalent practical engineering experience.
• •RAG delivery. Hands-on RAG solution development, including document chunking, embedding pipelines and integration of LLM services.

NICE TO HAVE - PREFERRED EXPERIENCE

• •Vector and enterprise search. Vector database or enterprise search implementation; hybrid search, reranking and retrieval-quality evaluation.
• •GenAI operations. Prompt/configuration versioning, response evaluation, usage/cost monitoring or relevant cloud/data certifications.

DELIVERY SCOPE & HIRING PRIORITY

Own data-platform and pipeline delivery. Coordinate cloud provisioning and platform operations with the Cloud team, and apply controls agreed with Security and Governance specialists.

Benefits:

• •Competitive salary based on agreement.
• •Full social insurance coverage based on salary.
• •Probation with 100% salary.
• •Annual bonuses and regular salary reviews.
• •Training sponsorship for professional courses and certification exams.
• •Comprehensive healthcare coverage for staff and their families.
• •Regular health check-ups.
• •15 days of paid annual leave, plus 1 additional day for every 3 years of service, up to 20 days.

Work Schedule:

• •Hybrid working mode.
• •Monday to Friday, 08:00 – 12:00 and 13:00 – 17:00.
• •Flexible start hours between 7:45 AM and 9:00 AM with manager approval.

Work Locations:

• •Hanoi Office: Room 202, 2nd Floor, HITC Building, 239 Xuan Thuy street, Dich Vong Hau ward, Cau Giay District, Hanoi.
• •Ho Chi Minh Office: Floor 20/10, Opal Tower, 92 Nguyen Huu Canh Street, Thanh My Tay Ward, Ho Chi Minh City.

Workplace type:

• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Accelerate your career with us. Apply today