Make an impact with NTT DATA
n 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.
n
Make an impact with NTT DATA
n 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.
n 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.
n 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.
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Key Responsibilities
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- Design and develop scalable data pipelines and ELT/ETL processes.
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- Build and maintain data platforms using Microsoft Fabric and Azure services.
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- Develop Lakehouse, Data Warehouse and Data Factory solutions in Microsoft Fabric.
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- Implement data integration solutions across cloud and on-premises data sources.
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- Design and optimise data models to support analytics, reporting and AI initiatives.
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- Develop and maintain data transformation processes using SQL, Spark and Python.
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- Implement data quality, governance and security controls.
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- Monitor and optimise platform performance, reliability and cost efficiency.
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- Collaborate with architects, analysts, data scientists and business stakeholders to deliver data-driven outcomes.
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- Support CI/CD implementation and automated deployment practices.
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Essential
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Skills & Experience
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- 5+ years' experience in Data Engineering, Data Warehousing or Cloud Data Platform development.
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- Strong experience with Microsoft Azure data services including:n n
- Azure Data Factory
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- Azure Data Lake Storage
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- Azure Synapse Analytics
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- Azure SQL
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- Azure Databricks
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- Azure DevOps
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- Hands-on experience with Microsoft Fabric including:n n
- Data Factory
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- Lakehouse
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- Warehouse
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- OneLake
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- Power BI
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- Notebooks
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- Solid SQL development and data modelling skills.
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- Experience developing data pipelines using Python and/or PySpark.
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- Understanding of data warehousing concepts including star and snowflake schemas.
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- Experience working within Agile delivery environments.
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- Strong stakeholder engagement and problem-solving skills.
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Desirable
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- Experience with Snowflake data platforms.
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- Experience with Databricks Lakehouse architecture.
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- Experience implementing data governance solutions such as Microsoft Purview
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- Exposure to real-time or streaming data architectures.
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- Experience working in consulting or professional services environments.
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AI & Emerging Technologies (Advantageous)
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- Experience integrating AI and Generative AI capabilities into data platforms.
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- Knowledge of Azure AI Services, Azure OpenAI, Microsoft Copilot Studio or Microsoft Fabric AI capabilities.
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- Experience supporting data foundations for machine learning or AI workloads.
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- Understanding of vector databases, Retrieval-Augmented Generation (RAG) and modern AI architectures.
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Qualifications
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- Microsoft Azure certifications highly regarded, such as:n n
- Azure Data Engineer Associate (DP-203)
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- Fabric Analytics Engineer Associate (DP-600)
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- Azure Fundamentals (AZ-900)
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Workplace type:
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Hybrid Working
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About NTT DATA
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📌 Data Engineer (New South Wales)
🏢 Ntt Data
📍 New South Wales
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