AI & Data Engineer

pMake 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. /p pWe are currently looking for an AI Data Engineer to strengthen our team and support our clients in their AI and data transformation. /p pThe 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. /p pThe role covers the full life cycle of a solution: from customer discussions and Proofs of Value (PoVs) to design, implementation, deployment and handover. /p h3About The Role /h3 ul liThe AI Data Engineer will be part of the team responsible for designing and delivering innovative AI and data solutions to NTT DATA clients. /li liA 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. /li liYou are comfortable moving between customer‑facing conversations, design and hands‑on implementation. /li /ul h3What will make you a good fit? /h3 h3Technical

skills:
/h3 ul liDegree in Computer Science, Engineering, AI, Data Science or equivalent professional experience /li li5+ years of relevant professional experience in AI Data Engineering, Data Architecture, Solution Architecture or similar technical roles /li liProven experience designing and implementing enterprise data platforms and AI solutions /li liStrong knowledge of data lakes, lakehouses and data warehouse architectures /li liHands‑on experience with ETL/ELT, data pipelines and data integration /li liExperience with data modelling and preparing data for analytics and AI workloads /li liStrong knowledge of SQL and experience with relational and/or NoSQL databases /li liProgramming experience, preferably Python /li liExperience integrating data from APIs, databases, files and enterprise applications /li liUnderstanding of data quality, security and governance /li liStrong understanding of Generative AI, LLMs and Retrieval‑Augmented Generation (RAG) /li liExperience integrating AI solutions with enterprise data and applications /li liStrong containerization skills, including Docker Kubernetes /li liUnderstanding of cloud platforms, CI/CD and DataOps/MLOps principles /li liAbility to translate business and functional requirements into technical designs /li /ul h3Soft

skills:
/h3 ul liStrong analytical and problem‑solving skills /li liCustomer‑oriented with the ability to understand business and technical requirements /li liComfortable with presales activities, workshops and customer presentations /li liProactive, curious and eager to learn new technologies /liliGood communication and documentation skills /li liGood verbal and written communication skills in Dutch and/or French and English /li /ul h3You are expected to: /h3 ul liUnderstand customer requirements from a technical and functional perspective /li liAssess customer data landscapes and identify relevant AI and data use cases /li liParticipate in presales activities and customer workshops /li liDesign data and AI architectures /li liDesign and implement data platforms, data pipelines and integrations /li liBuild AI‑ready data layers for analytics, machine learning and Generative AI /li liBuild Proofs of Value and production‑ready solutions /li liImplement AI solutions using LLMs, RAG and related technologies /li liIntegrate solutions with enterprise applications, APIs and data sources /li liContainerize and deploy solutions in cloud and container platforms /li liWrite implementation plans and technical documentation /li liAssist operational teams during troubleshooting and handover /li /ul h3Common technologies used across our projects include: /h3 pMicrosoft Fabric and Red Hat OpenShift experience are considered an advantage. /p ul liMicrosoft Fabric /li liAzure Data Factory /li liAzure Databricks /li liData lakes lakehouses /li liSQL / NoSQL /li liPython /li liETL / ELT /li liREST APIs /li liGenerative AI LLMs /li liRAG vector databases /li liAzure OpenAI / Azure AI /li liDocker Kubernetes /li liRed Hat OpenShift /li liGit CI/CD /li liDataOps / MLOps /li /ul h3What

We Offer
/h3 ul liContract of unlimited duration /li liAnnual bonus /li liLunch vouchers /li liForfaitary compensation for professional costs /li liCompany car or Mobility budget /li liHospitalisation insurance and ambulant care at premium level /li liGroup and disabi