AI & Data Engineer

Il y a 18 heures

Machelen, Flanders, Belgique NTT Temps plein

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JOB DESCRIPTION

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 experience5+ years of relevant professional experience in AI & Data Engineering, Data Architecture, Solution Architecture or similar technical rolesProven experience designing and implementing enterprise data platforms and AI solutionsStrong knowledge of data lakes, lakehouses and data warehouse architecturesHands-on experience with ETL/ELT, data pipelines and data integrationExperience with data modelling and preparing data for analytics and AI workloadsStrong knowledge of SQL and experience with relational and/or NoSQL databasesProgramming experience, preferably PythonExperience integrating data from APIs, databases, files and enterprise applicationsUnderstanding of data quality, security and governanceStrong understanding of Generative AI, LLMs and Retrieval-Augmented Generation (RAG)Experience integrating AI solutions with enterprise data and applicationsStrong containerization skills, including Docker & KubernetesUnderstanding of cloud platforms, CI/CD and DataOps/MLOps principlesAbility to translate business and functional requirements into technical designs

Soft skills:

Strong analytical and problem-solving skillsCustomer-oriented with the ability to understand business and technical requirementsComfortable with presales activities, workshops and customer presentationsProactive, curious and eager to learn new technologiesGood communication and documentation skillsGood verbal and written communication skills in Dutch and/or French and English

You are expected to:

Understand customer requirements from a technical and functional perspectiveAssess customer data landscapes and identify relevant AI and data use casesParticipate in presales activities and customer workshopsDesign data and AI architecturesDesign and implement data platforms, data pipelines and integrationsBuild AI-ready data layers for analytics, machine learning and Generative AIBuild Proofs of Value and production-ready solutionsImplement AI solutions using LLMs, RAG and related technologiesIntegrate solutions with enterprise applications, APIs and data sourcesContainerize and deploy solutions in cloud and container platformsWrite implementation plans and technical documentationAssist operational teams during troubleshooting and handover

Common technologies used across our projects include:

Microsoft Fabric and Red Hat OpenShift experience are considered an advantage.

Microsoft FabricAzure Data FactoryAzure DatabricksData lakes & lakehousesSQL / NoSQLPythonETL / ELTREST APIsGenerative AI & LLMsRAG & vector databasesAzure OpenAI / Azure AIDocker & KubernetesRed Hat OpenShiftGit & CI/CDDataOps / MLOps

What we offer

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