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.
Solid 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)
🏢 Ntt Data
📍 Sydney