Data Engineer

Posted 4 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Information Technology • Business Intelligence • Consulting
The Role
Design, build, and optimize scalable cloud data platforms, pipelines, data models, lakehouses, and warehouses using Microsoft Azure and Fabric. Integrate cloud and on-premises sources, develop transformations with SQL, Spark, and Python, and implement governance, security, quality, CI/CD, and performance controls. Collaborate with architects, analysts, data scientists, and stakeholders to support analytics, reporting, AI, and machine learning initiatives.
Summary Generated by Built In

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 seeking an experienced Data Engineer to join our Data & AI practice. You will design, build and optimize modern cloud data platforms, enabling organizations to unlock value from data through scalable analytics, reporting and AI solutions.


Working with a range of enterprise customers, you will develop robust data pipelines, data models and lakehouse solutions using Microsoft Azure and Microsoft Fabric technologies.


Key Responsibilities
  • Design and develop scalable data pipelines and ELT/ETL processes.
  • Build and maintain data platforms using Microsoft Fabric and Azure services.
  • Develop Lakehouse, Data Warehouse and Data Factory solutions in Microsoft Fabric.
  • Implement data integration solutions across cloud and on-premises data sources.
  • Design and optimize data models to support analytics, reporting and AI initiatives.
  • Develop and maintain data transformation processes using SQL, Spark and Python.
  • Implement data quality, governance and security controls.
  • Monitor and optimize platform performance, reliability and cost efficiency.
  • Collaborate with architects, analysts, data scientists and business stakeholders to deliver data-driven outcomes.
  • Support CI/CD implementation and automated deployment practices.

​

Skills & ExperienceEssential
  • 5+ years' experience in Data Engineering, Data Warehousing or Cloud Data Platform development.
  • Strong experience with Microsoft Azure data services including:
    • Azure Data Factory
    • Azure Data Lake Storage
    • Azure Synapse Analytics
    • Azure SQL
    • Azure Databricks
    • Azure DevOps
  • Hands-on experience with Microsoft Fabric including:
    • Data Factory
    • Lakehouse
    • Warehouse
    • OneLake
    • Power BI
    • Notebooks
  • Strong SQL development and data modelling skills.
  • Experience developing data pipelines using Python and/or PySpark.
  • Understanding of data warehousing concepts including star and snowflake schemas.
  • Experience working within Agile delivery environments.
  • Strong stakeholder engagement and problem-solving skills.
Desirable
  • Experience with Snowflake data platforms.
  • Experience with Databricks Lakehouse architecture.
  • Experience implementing data governance solutions such as Microsoft Purview
  • Exposure to real-time or streaming data architectures.
  • Experience working in consulting or professional services environments.

​

AI & Emerging Technologies (Advantageous)
  • Experience integrating AI and Generative AI capabilities into data platforms.
  • Knowledge of Azure AI Services, Azure OpenAI, Microsoft Copilot Studio or Microsoft Fabric AI capabilities.
  • Experience supporting data foundations for machine learning or AI workloads.
  • Understanding of vector databases, Retrieval-Augmented Generation (RAG) and modern AI architectures.

Qualifications
  • Microsoft Azure certifications highly regarded, such as:
    • Azure Data Engineer Associate (DP-203)
    • Fabric Analytics Engineer Associate (DP-600)
    • Azure Fundamentals (AZ-900)

Workplace type:


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.


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.

Skills Required

  • 5+ years of experience in data engineering, data warehousing, or cloud data platform development
  • Strong experience with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL, Azure Databricks, and Azure DevOps
  • Hands-on experience with Microsoft Fabric, including Data Factory, Lakehouse, Warehouse, OneLake, Power BI, and Notebooks
  • Strong SQL development and data modeling skills
  • Experience developing data pipelines using Python and/or PySpark
  • Understanding of data warehousing concepts, including star and snowflake schemas
  • Experience working within Agile delivery environments
  • Strong stakeholder engagement and problem-solving skills
  • Experience with Snowflake data platforms
  • Experience with Databricks Lakehouse architecture
  • Experience implementing data governance solutions such as Microsoft Purview
  • Exposure to real-time or streaming data architectures
  • Experience in consulting or professional services environments
  • Experience integrating AI and generative AI capabilities into data platforms
  • Knowledge of Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, or Microsoft Fabric AI capabilities
  • Experience supporting data foundations for machine learning or AI workloads
  • Understanding of vector databases, Retrieval-Augmented Generation, and modern AI architectures
  • Microsoft Azure certifications such as Azure Data Engineer Associate, Fabric Analytics Engineer Associate, or Azure Fundamentals

NTT DATA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.

  • Fair & Transparent Compensation — Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
  • Healthcare Strength — Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
  • Wellbeing & Lifestyle Benefits — Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.

NTT DATA Insights

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The Company
HQ: Tokyo
55,092 Employees
Year Founded: 1988

What We Do

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

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