AI & Data Engineer

pbMake an impact with NTT DATA /b /p pJoin 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. /p pWe are currently looking for an bAI Data Engineer /b to strengthen our team and support our clients in their AI and data transformation. /p pThe AI Data Engineer combines bpresales /b , bdesign /b and bhands-on /b engineering skills. You will work bdirectly with clients /b 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. /p pThe role covers the bfull life cycle /b of a solution: from customer discussions and Proofs of Value (PoVs) to design, implementation, deployment and handover. /p h3About the role /h3 ullipThe AI Data Engineer will be part of the team responsible for designing and delivering innovative AI and data solutions to NTT DATA clients. /p /lilipA 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. /p /lilipYou are comfortable moving between customer-facing conversations, design and hands-on implementation. /p /li /ul h3What will make you a good fit? /h3 h3Technical

skills:
/h3 ullipDegree in Computer Science, Engineering, AI, Data Science or equivalent professional experience /p /lilip5+ years of relevant professional experience in AI Data Engineering, Data Architecture, Solution Architecture or similar technical roles /p /lilipProven experience designing and implementing enterprise data platforms and AI solutions /p /lilipStrong knowledge of data lakes, lakehouses and data warehouse architectures /p /lilipHands-on experience with ETL/ELT, data pipelines and data integration /p /lilipExperience with data modelling and preparing data for analytics and AI workloads /p /lilipStrong knowledge of SQL and experience with relational and/or NoSQL databases /p /lilipProgramming experience, preferably Python /p /lilipExperience integrating data from APIs, databases, files and enterprise applications /p /lilipUnderstanding of data quality, security and governance /p /lilipStrong understanding of Generative AI, LLMs and Retrieval-Augmented Generation (RAG) /p /lilipExperience integrating AI solutions with enterprise data and applications /p /lilipStrong containerization skills, including Docker Kubernetes /p /lilipUnderstanding of cloud platforms, CI/CD and DataOps/MLOps principles /p /lilipAbility to translate business and functional requirements into technical designs /p /li /ul h3Soft

skills:
/h3 ullipStrong analytical and problem-solving skills /p /lilipCustomer-oriented with the ability to understand business and technical requirements /p /lilipComfortable with presales activities, workshops and customer presentations /p /lilipProactive, curious and eager to learn new technologies /p /lilipGood communication and documentation skills /p /lilipGood verbal and written communication skills in Dutch and/or French and English /p /li /ul h3You are expected to: /h3 ullipUnderstand customer requirements from a technical and functional perspective /p /lilipAssess customer data landscapes and identify relevant AI and data use cases /p /lilipParticipate in presales activities and customer workshops /p /lilipDesign data and AI architectures /p /lilipDesign and implement data platforms, data pipelines and integrations /p /lilipBuild AI-ready data layers for analytics, machine learning and Generative AI /p /lilipBuild Proofs of Value and production-ready solutions /p /lilipImplement AI solutions using LLMs, RAG and related technologies /p /lilipIntegrate solutions with enterprise applications, APIs and data sources /p /lilipContainerize and deploy solutions in cloud and container platforms /p /lilipWrite implementation plans and technical documentation /p /lilipAssist operational teams during troubleshooting and handover /p /li /ul h3Common technologies used across our projects include: /h3 pMicrosoft Fabric and Red Hat OpenShift experience are considered an advantage. /p ullipMicrosoft Fabric /p /lilipAzure Data Factory /p /lilipAzure Databricks /p /lilipData lakes lakehouses /p /lilipSQL / NoSQL /p /lilipPython /p /lilipETL / ELT /p /lilipREST APIs /p /lilipGenerative AI LLMs /p /lilipRAG vector databases /p /lilipAzure OpenAI / Azure AI /p /lilipDocker Kubernetes /p /lilipRed Hat OpenShift /p /lilipGit CI/CD /p /lilipDataOps / MLOps /p /li /ul h3What

we offer
/h3 ullipContract of unlimited duration /p /lilipAnnual bonus /p /lilipLunch vo