About this role
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 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 WorkingAbout 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.
Third parties fraudulently posing as NTT DATA recruiters
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 NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
Other facts
About NTT Ltd.
NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity.
What you'll do
- The Data & AI Engineer will design, build, and operate scalable data and GenAI solutions on Azure and Databricks. Responsibilities include building reliable data pipelines, implementing AI solutions, and ensuring best practices in data engineering.
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