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NTT DATA, Inc.
Data EngineerNTT DATA, Inc. • Sydney, AU
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Data Engineer

Data Engineer

NTT DATA, Inc. • Sydney, AU
30+ days ago
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.

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 optimise modern cloud data platforms, enabling organisations 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 optimise 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 optimise 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

Skills & Experience

  • 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:

Hybrid Working

About NTT DATA

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Data Engineer • Sydney, AU