AI & Data Engineer

NTT Ltd.; Machelen; On-site; EUR 70,000 - 110,000; Full time

Job summary

NTT DATA is seeking an AI & Data Engineer in Belgium to build and deliver AI and data-driven solutions for clients. You will combine presales, design and hands-on engineering, working directly with customers to translate their business challenges into scalable data architectures and AI implementations.

You will contribute across the full life cycle from initial discussions to deployment and handover, leveraging data lakes, lakehouses and enterprise data platforms.

Qualifications

• 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.

Responsibilities

• Design and deliver innovative AI and data solutions to NTT DATA clients.
• Move between customer conversations, design and hands-on implementation.
• Collaborate with presales teams to understand business challenges and translate requirements into technical designs.
• Build production-ready AI and data architectures with data pipelines and integrations.
• Ensure data quality, security and governance across data platforms.
• Support PoVs and handover of solutions to client teams.

Skills

AI & Data Eng

SQL

Python

Docker

Kubernetes

Data Architecture

Data Pipelines

Presales

Dutch/French/English

LLMs

Education

Degree in CS or related

Tools

CI/CD tools

Data lakes / lakehouses

APIs integration

LLMs

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 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