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NTT DATA is seeking an AI & Data Engineer to shape innovative AI and data solutions for clients, spanning presales, design and hands-on implementation. You will translate business needs into technical designs, build scalable data platforms and ensure production-ready deployments.
You will work directly with clients across the full lifecycle, from PoVs to handover, leveraging Generative AI, LLMs, and data lakehouse architectures while integrating with enterprise systems.
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.
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.
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
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
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
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
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
Hybrid Working
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.
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.
NTT 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 @nttdata.com email address. If you suspect any fraudulent activity, please contact us (global.careers@nttdata.com) .