AI/Data Engineer

NTT Ltd; Singapore; Hybrid; SGD 80,000 - 120,000; Full time

Job summary

A global technology services leader is looking for a Data & AI Engineer in Singapore. The ideal candidate will design and operate scalable data and GenAI solutions utilizing Azure and Databricks, with responsibilities including building reliable data pipelines and applying best practices for data engineering. Candidates should have 3-7+ years of experience in AI engineering, strong programming skills in Python and SQL, and familiarity with Azure services. This position offers a hybrid work model and opportunities for professional growth.

Qualifications

• 3–7+ years in data/AI engineering delivering production systems on Azure.
• Experience with data engineering and AI capabilities on Azure.
• Understanding of security and governance best practices.

Responsibilities

• Design, build, and operate scalable GenAI solutions on Azure.
• Create batch/stream pipelines in Databricks with Delta Lake.
• Implement CI/CD for data and AI workloads.

Skills

Python

PySpark

SQL

Azure AI Foundry

Azure OpenAI

Databricks

Terraform

Git & CI/CD

Education

BSc/MSc in Computer Science or Data/AI

Tools

MLflow

Azure DevOps

Job description

Make an impact with NTT DATA

Location: Diegem, Belgium • Category: Data and Analytics • Remote Type: Hybrid Working • Job Type: Full time

We are looking for a Data & AI Engineer to design, build, and operate scalable data and GenAI solutions on Azure and Databricks. You will combine solid data engineering (Python, PySpark, Delta Lake) with modern AI capabilities (Azure AI Foundry, Azure AI Search, Azure OpenAI) and automate everything you can with Terraform and CI/CD.

What you will do

• Data engineering & Lakehouse
  • Build reliable batch/stream pipelines in Databricks (Python/PySpark, SQL) with Delta Lake and Unity Catalog.
  • Implement best practices for code quality, testing, documentation, lineage, and cost‑efficient performance.
• AI & GenAI delivery
  • Design and deliver GenAI solutions using Azure AI Foundry (projects, prompt flow/evaluation), Azure OpenAI (chat/completions, tool/function calling), and Azure AI Search (indexing, vector search, semantic ranking) with robust RAG patterns.
  • Instrument evaluation, grounding, safety checks, and quality metrics for AI features.
• MLOps & Platform
  • Use MLflow for experiment tracking, model packaging, and deployment; standardize environments and feature stores where relevant.
  • Build CI/CD for data and AI workloads (e.g., Azure DevOps/GitHub Actions) and implement monitoring & observability (logs, metrics, drift).
• Infrastructure as Code
  • Provision Azure and Databricks resources with Terraform (modular design, workspaces/state, policies, service principals, Key Vault).
• Security & Governance
  • Apply RBAC, secrets management, data masking, and governance (Unity Catalog / Purview) with privacy‑by‑design and compliance best practices.
• Collaboration & ways of working
  • Partner with product owners, architects, and SMEs to translate use‑cases into simple, secure, cost‑aware solutions.
  • Contribute to reference architectures, reusable components, and engineering standards.

What you bring

• Experience: 3–7+ years in data/AI engineering (or equivalent impact) delivering production systems on Azure.
• Core skills
  • Python (production code, packaging, testing), PySpark, SQL.
  • Databricks (Repos/Workflows, Delta Lake, Unity Catalog, MLflow).
  • Azure AI Foundry (formerly Azure AI Studio): projects, prompt/eval flows, model endpoints.
  • Azure AI Search: index design, vector embeddings, skillsets/indexers, semantic search.
  • Azure OpenAI: prompt design, grounding, safety filters, function/tool calling, evaluation.
  • Terraform (AzureRM + Databricks providers), modular patterns, pipelines, approvals.
  • Git & CI/CD (Azure DevOps or GitHub), code reviews, trunk‑based or GitFlow.
• Good to have
  • Azure Data Factory / Fabric pipelines, Synapse, Power BI for hand‑offs to analytics.
  • Vector databases (e.g., Azure AI Search vectors, PostgreSQL pgvector), RAG optimization techniques (chunking, retrieval, ranking).
  • Airflow orchestration, Docker/AKS, serverless (Azure Functions), FastAPI for serving.
  • Data governance (Microsoft Purview), cost management, FinOps practices.
  • Domain exposure to regulated environments and GDPR data protection.
• Soft skills
  • Strong problem solving and ownership, clear communication with non‑technical stakeholders, pragmatic approach to simplicity, security and cost.

Education & Certifications (nice to have)

• BSc/MSc in Computer Science, Data/AI, or similar (or equivalent experience).
• Microsoft: Azure Data Engineer Associate, Azure AI Engineer Associate.
• Databricks: Lakehouse Fundamentals / Data Engineer / Machine Learning certifications.
• HashiCorp: Terraform Associate.

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 50 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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