AI & Data Engineer
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Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. We are currently looking for an AI & Data Engineer to strengthen our team and support our clients in their AI and data transformation. The AI & Data Engineer combines presales, design and hands‑on engineering skills. You will work directly with clients to understand their business challenges, assess their data landscape, identify relevant AI and data opportunities, translate requirements into technical designs, and implement production‑ready solutions. The role covers the full life cycle of a solution: from customer discussions and Proofs of Value (PoVs) to design, implementation, deployment and handover.
About the role
The AI & Data Engineer will be part of the team responsible for designing and delivering innovative AI and data solutions to NTT DATA clients. A strong data engineering foundation is essential for this role. You understand how enterprise data is collected, integrated, transformed and made available for analytics and AI workloads. On top of this data foundation, you design and implement solutions using machine learning, Generative AI, Large Language Models (LLMs), RAG and AI agents. You are comfortable moving between customer‑facing conversations, design and hands‑on implementation.
What will make you a good fit?
Technical skills:
- Degree in Computer Science, Engineering, AI, Data Science or equivalent professional experience
- 5+ years of relevant professional experience in AI & Data Engineering, Data Architecture, Solution Architecture or similar technical roles
- Proven experience designing and implementing enterprise data platforms and AI solutions
- Strong knowledge of data lakes, lakehouses and data warehouse architectures
- Hands‑on experience with ETL/ELT, data pipelines and data integration
- Experience with data modelling and preparing data for analytics and A
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