Data Engineer

NTT Limited

City of Brisbane

Hybrid

AUD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Hybrid Working

Job summary

NTT DATA seeks an experienced Data Engineer to design, build and optimise modern cloud data platforms using Microsoft Azure and Fabric technologies. You will create scalable data pipelines, data models and lakehouse solutions for enterprise customers, enabling analytics, reporting and AI initiatives.

Join a global leader in AI and digital infrastructure, collaborating with architects, data scientists and business stakeholders to deliver data-driven outcomes. Hybrid working available in Australia.

Qualifications

  • 5+ years in Data Engineering, Data Warehousing or Cloud Data Platform development.
  • Experience with Microsoft Azure data services (Data Factory, Data Lake, Synapse, SQL, Databricks, DevOps).
  • Hands-on with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, Power BI, Notebooks).
  • Strong SQL development and data modelling skills.
  • Experience in Python and/or PySpark for data pipelines.
  • Understanding of star and snowflake schemas in data warehousing.
  • Experience in Agile delivery environments.
  • Strong stakeholder engagement and problem-solving skills.

Responsibilities

  • Design scalable data pipelines and ELT/ETL processes.
  • Build data platforms using Microsoft Fabric and Azure services.
  • Develop Lakehouse, Data Warehouse and Data Factory solutions in Fabric.
  • Integrate data from cloud and on-premises sources.
  • Design/optimise data models for analytics and AI workloads.
  • Transform data using SQL, Spark, and Python.
  • Implement data quality, governance and security controls.
  • Monitor platform performance and cost efficiency.
  • Collaborate with architects, analysts and stakeholders to deliver data-driven outcomes.
  • Support CI/CD and automated deployment practices.

Skills

Azure data services
Microsoft Fabric
SQL development
Data modeling
Python / PySpark
Data warehousing concepts
Agile delivery
Stakeholder engagement

Education

Azure certifications (DP-203, DP-600, AZ-900)

Tools

Azure Data Factory
Azure Data Lake Storage
Azure Synapse Analytics
Azure SQL
Azure Databricks
Azure DevOps
Microsoft Fabric
Power BI
Notebooks
OneLake

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.
Skills & Experience
  • Essential 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

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.

Is innovation part of your DNA? Do you want to enable a connected future for people, organizations, and society? Join our growing global NTT family and you’ll be part of the world’s largest ICT company (by revenue). We’ve combined the capabilities of 28 remarkable companies to become one, leading technology services provider. Together, we help our people, clients, and communities do great things with technology to create a more secure and connected future. We employ 40,000 people across 57 countries. By bringing together the world’s best technology companies and emerging innovators, we work together to deliver sustainable outcomes to businesses and the world. Innovation is part of our DNA. We believe it’s key to what makes us different. So, we strive to move forward, challenge the status quo, and drive excellence through the technologies we integrate and the services we deliver around the world. The result is connected cities, connected factories, connected healthcare, connected agriculture, connected conservation, connected mobility, and connected sport. Together we enable the connected future. You’ll be joining a global employer that is committed to attracting, growing and keeping the best talent. A place where you will be at the heart of our success!

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