AI & Data Engineer

**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 experience + 5+ years of relevant professional experience in AI & Data Engineering, Data Architecture, Solution Architecture or similar technical roles + Proven experience designing and implementing enterprise data platforms and AI solutions + Strong knowledge of data lakes, lakehouses and data warehouse architectures + Hands-on experience with ETL/ELT, data pipelines and data integration + Experience with data modelling and preparing data for analytics and AI workloads + Strong knowledge of SQL and experience with relational and/or NoSQL databases + Programming experience, preferably Python + Experience integrating data from APIs, databases, files and enterprise applications + Understanding of data quality, security and governance + Strong understanding of Generative AI, LLMs and Retrieval-Augmented Generation (RAG) + Experience integrating AI solutions with enterprise data and applications + Strong containerization skills, including Docker & Kubernetes + Understanding of cloud platforms, CI/CD and DataOps/MLOps principles + Ability to translate business and functional requirements into technical designs **Soft skills:** + Strong analytical and problem-solving skills + Customer-oriented with the ability to understand business and technical requirements + Comfortable with presales activities, workshops and customer presentations + Proactive, curious and eager to learn new technologies + Good communication and documentation skills + Good verbal and written communication skills in Dutch and/or French and English **You are expected to:** + Understand customer requirements from a technical and functional perspective + Assess customer data landscapes and identify relevant AI and data use cases + Participate in presales activities and customer workshops + Design data and AI architectures + Design and implement data platforms, data pipelines and integrations + Build AI-ready data layers for analytics, machine learning and Generative AI + Build Proofs of Value and production-ready solutions + Implement AI solutions using LLMs, RAG and related technologies + Integrate solutions with enterprise applications, APIs and data sources + Containerize and deploy solutions in cloud and container platforms + Write implementation plans and technical documentation + Assist 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 Fabric + Azure Data Factory + Azure Databricks + Data lakes & lakehouses + SQL / NoSQL + Python + ETL / ELT + REST APIs + Generative AI & LLMs + RAG & vector databases + Azure OpenAI / Azure AI + Docker & Kubernetes + Red Hat OpenShift + Git & CI/CD + DataOps / MLOps **What we offer** + Contract of unlimited duration + Annual bonus + Lunch vouchers + Forfaitary compensation for professional costs + Company car or Mobility budget + Hospitalisation insurance and ambulant care at premium level + Group and disability insurance + Possibility to order a lease bike + 31 days of holiday plus seniority days + Data and voice subscription + contribution for a smartphone device + Contribution for internet at home + Contribution for IT equipment + Private use of your NTT laptop **Workplace type** **:** Hybrid Working **About NTT DATA** NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100.

We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.

Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.

NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. **Equal Opportunity Employer** NTT 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.

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