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 contemporary 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

#J-18808-Ljbffr

📌 Data Engineer (New South Wales)
🏢 Ntt Data
📍 New South Wales