Data Engineer

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.

Essential

Desirable

AI & Emerging Technologies (Advantageous)

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.
• Essential
• 5+ years' experience in Data Engineering, Data Warehousing or Cloud Data Platform development.
• Azure Data Factory
• Azure Data Lake Storage
• Azure Synapse Analytics
• Azure SQL
• Azure Databricks
• Azure DevOps
• 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.