Data Engineer

NTT DATA, Inc.; City of Melbourne; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid Working

Job summary

NTT DATA, Inc. in Melbourne seeks an experienced Data Engineer to design, build and optimise cloud data platforms on Azure and Fabric. You will develop scalable data pipelines, lakehouse solutions and data models for analytics and AI initiatives.

You will collaborate with architects, analysts and business stakeholders to deliver data-driven outcomes, employing Python/PySpark, SQL, and DevOps practices in a hybrid working environment.

Qualifications

• 5+ years of experience in data engineering, data warehousing or cloud data platform projects.
• Strong hands-on with Azure data services and Fabric components.
• Solid SQL development and data modelling skills.

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 Fabric.
• Implement data integration across cloud and on-premise sources.
• Design and optimise data models to support analytics and AI initiatives.
• Develop data transformation processes using SQL, Spark and Python.
• Implement data quality, governance and security controls.
• Monitor and optimise platform performance, reliability and cost.
• Collaborate with architects, analysts, data scientists and business stakeholders.
• Support CI/CD and automated deployment practices.

Skills

Data modeling

SQL proficiency

Python/PySpark

Stakeholder engagement

Agile delivery

Education

Bachelor's degree in a relevant field

Tools

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Azure SQL

Azure Databricks

Azure DevOps

Microsoft Fabric

Power BI

OneLake

Notebooks

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.

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

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.