AI & Data Engineer

pMake an impact with NTT DATAbr/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. /ppWe are currently looking for an AI Data Engineer to strengthen our team and support our clients in their AI and data transformation. /ppThe 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. /ppThe role covers the full life cycle of a solution: from customer discussions and Proofs of Value (PoVs) to design, implementation, deployment and handover. /ppAbout the role /pulliThe AI Data Engineer will be part of the team responsible for designing and delivering innovative AI and data solutions to NTT DATA clients. /liliA 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. /liliYou are comfortable moving between customer‑facing conversations, design and hands‑on implementation. /li /ulpWhat will make you a good fit? /ph3Technical skills /h3ulliDegree in Computer Science, Engineering, AI, Data Science or equivalent professional experience /lili5+ years of relevant professional experience in AI Data Engineering, Data Architecture, Solution Architecture or similar technical roles /liliProven experience designing and implementing enterprise data platforms and AI solutions /liliStrong knowledge of data lakes, lakehouses and data warehouse architectures /liliHands‑on experience with ETL/ELT, data pipelines and data integration /liliExperience with data modelling and preparing data for analytics and AI workloads /liliStrong knowledge of SQL and experience with relational and/or NoSQL databases /liliProgramming experience, preferably Python /liliExperience integrating data from APIs, databases, files and enterprise applications /liliUnderstanding of data quality, security and governance /liliStrong understanding of Generative AI, LLMs and Retrieval‑Augmented Generation (RAG) /liliExperience integrating AI solutions with enterprise data and applications /liliStrong containerization skills, including Docker Kubernetes /liliUnderstanding of cloud platforms, CI/CD and DataOps/MLOps principles /liliAbility to translate business and functional requirements into technical designs /li /ulh3Soft skills /h3ulliStrong analytical and problem‑solving skills /liliCustomer‑oriented with the ability to understand business and technical requirements /liliComfortable with presales activities, workshops and customer presentations /liliProactive, curious and eager to learn new technologies /liliGood communication and documentation skills /liliGood verbal and written communication skills in Dutch and/or French and English /li /ulh3You are expected to /h3ulliUnderstand customer requirements from a technical and functional perspective /liliAssess customer data landscapes and identify relevant AI and data use cases /liliParticipate in presales activities and customer workshops /liliDesign data and AI architectures /liliDesign and implement data platforms, data pipelines and integrations /liliBuild AI‑ready data layers for analytics, machine learning and Generative AI /liliBuild Proofs of Value and production‑ready solutions /liliImplement AI solutions using LLMs, RAG and related technologies /liliIntegrate solutions with enterprise applications, APIs and data sources /liliContainerize and deploy solutions in cloud and container platforms /liliWrite implementation plans and technical documentation /liliAssist operational teams during troubleshooting and handover /li /ulh3Common technologies used across our projects include /h3pMicrosoft Fabric and Red Hat OpenShift experience are considered an advantage. /pulliMicrosoft Fabric /liliAzure Data Factory /liliAzure Databricks /liliData lakes lakehouses /liliSQL / NoSQL /liliPython /liliETL / ELT /liliREST APIs /liliGenerative AI LLMs /liliRAG vector databases /liliAzure OpenAI / Azure AI /liliDocker Kubernetes /liliRed Hat OpenShift /liliGit CI/CD /liliDataOps / MLOps /li /ulh3What

we offer
/h3ulliContract of unlimited duration /liliAnnual bonus /liliLunch vouchers /liliForfaitary compensation for professional costs /liliCompany car or Mobility budget /liliHospitalisation insurance and ambulant care at premium level /liliGroup and disability insurance /liliPossibility to order a lease bike /lili31 days of holiday plus sen