{"id":2518866,"url":"https://alion.io/job/ntt-ai-data-engineer","title":"AI & Data Engineer","company":{"id":121,"name":"NTT","domain":"global.ntt","url":"https://alion.io/company/ntt","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Diegem, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":165000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenShift","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T10:30:42Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T20:04:54Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Make an impact with NTT DATA\nJoin 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.\nWe are currently looking for an AI & Data Engineer to strengthen our team and support our clients in their AI and data transformation.\nThe AI & Data Engineer combines presales, design andhands-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.\nThe role covers the full life cycle of a solution: from customer discussions and Proofs of Value (PoVs) to design, implementation, deployment and handover.\nAbout the role\nThe AI & Data Engineer will be part of the team responsible for designing and delivering innovative AI and data solutions to NTT DATA clients.\nA 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.\nYou are comfortable moving between customer-facing conversations, design and hands-on implementation.\nWhat will make you a good fit?\nTechnical skills:\nDegree in Computer Science, Engineering, AI, Data Science or equivalent professional experience\n5+ years of relevant professional experience in AI & Data Engineering, Data Architecture, Solution Architecture or similar technical roles\nProven experience designing and implementing enterprise data platforms and AI solutions\nStrong knowledge of data lakes, lakehouses and data warehouse architectures\nHands-on experience with ETL/ELT, data pipelines and data integration\nExperience with data modelling and preparing data for analytics and AI workloads\nStrong knowledge of SQL and experience with relational and/or NoSQL databases\nProgramming experience, preferably Python\nExperience integrating data from APIs, databases, files and enterprise applications\nUnderstanding of data quality, security and governance\nStrong understanding of Generative AI, LLMs and Retrieval-Augmented Generation (RAG)\nExperience integrating AI solutions with enterprise data and applications\nStrong containerization skills, including Docker & Kubernetes\nUnderstanding of cloud platforms, CI/CD and DataOps/MLOps principles\nAbility to translate business and functional requirements into technical designs\nSoft skills:\nStrong analytical and problem-solving skills\nCustomer-oriented with the ability to understand business and technical requirements\nComfortable with presales activities, workshops and customer presentations\nProactive, curious and eager to learn new technologies\nGood communication and documentation skills\nGood verbal and written communication skills in Dutch and/or French and English\nYou are expected to:\nUnderstand customer requirements from a technical and functional perspective\nAssess customer data landscapes and identify relevant AI and data use cases\nParticipate in presales activities and customer workshops\nDesign data and AI architectures\nDesign and implement data platforms, data pipelines and integrations\nBuild AI-ready data layers for analytics, machine learning and Generative AI\nBuild Proofs of Value and production-ready solutions\nImplement AI solutions using LLMs, RAG and related technologies\nIntegrate solutions with enterprise applications, APIs and data sources\nContainerize and deploy solutions in cloud and container platforms\nWrite implementation plans and technical documentation\nAssist operational teams during troubleshooting and handover\nCommon technologies used across our projects include:\nMicrosoft Fabric and Red Hat OpenShift experience are considered an advantage.\nMicrosoft Fabric\nAzure Data Factory\nAzure Databricks\nData lakes & lakehouses\nSQL / NoSQL\nPython\nETL / ELT\nREST APIs\nGenerative AI & LLMs\nRAG & vector databases\nAzure OpenAI / Azure AI\nDocker & Kubernetes\nRed Hat OpenShift\nGit & CI/CD\nDataOps / MLOps\nWhat we offer\nContract of unlimited duration\nAnnual bonus\nLunch vouchers\nForfaitary compensation for professional costs\nCompany car or Mobility budget\nHospitalisation insurance and ambulant care at premium level\nGroup and disability insurance\nPossibility to order a lease bike\n31 days of holiday plus seniority days\nData and voice subscription + contribution for a smartphone device\nContribution for internet at home\nContribution for IT equipment\nPrivate use of your NTT laptop\nWorkplace type:\nHybrid WorkingAbout NTT DATA\nNTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune\nGlobal 100. We are committed to accelerating client success and positively impacting society through\nresponsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with\nunmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and\napplication services. Our consulting and industry solutions help organizations and society move\nconfidently and sustainably into the digital future. As a Global Top Employer, we have experts in more\nthan 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as\nestablished and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each\nyear in R&D.\nEqual Opportunity Employer\nNTT 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. Join our growing global team and accelerate your career with us. Apply today.\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. 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