NTT DATA
Posted 1w ago

Data Engineer

NTT DATA
Melbourne or Sydney or Brisbane
HybridFull Time
Responsibilities
  • developing data pipelines
  • optimizing data platforms
  • designing data models
Requirements
  • Requires 5+ years in data engineering
  • Warehousing, or cloud platforms
  • Azure and Fabric expertise
  • SQL, data modeling, Python or PySpark
  • Agile and stakeholder skills
Technical tools mentioned
Microsoft AzureMicrosoft FabricAzure Data FactoryAzure Data Lake StorageAzure Synapse AnalyticsAzure SQLAzure DatabricksAzure DevOpsData FactoryLakehouseWarehouseOneLakePower BINotebooksSQLSparkPythonPySparkSnowflakeMicrosoft PurviewAzure AI ServicesAzure OpenAIMicrosoft Copilot StudioMicrosoft Fabric AIRetrieval-Augmented Generation (RAG)

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

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. Apply today.


Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

About NTT DATA

Provides global information technology and business transformation services.

Similar jobs

Data Engineer roles near Melbourne, Victoria
1d
Save
Mark Applied
Hide
Staff Data Engineer
Sydney or Melbourne
HybridFull Time, Part Time
Commonwealth Bank
Commonwealth BankASX: CBA: Provides comprehensive retail, business, and institutional financial services.
Requires AWS data engineering experience, strong Python, PySpark, SQL, Spark, Scala, and distributed processing skills, plus AWS platforms, governance, security, automation, CI/CD, and data mesh expertise.
AWS Cloud, Python, PySpark, Scala, SQL, Spark, AWS Glue, AWS Lambda, Amazon Redshift, Amazon Athena, Amazon Kinesis, Amazon EMR, AWS DataZone, AWS Lake Formation, IAM, Cline, Roo, Aider, AWS Marketplace, Amazon API Gateway, Terraform, AWS CloudFormation, GitOps, Snowflake, Apache Iceberg
1d
Save
Mark Applied
Hide
Data Engineer
Melbourne, Victoria, Australia
HybridFull Time, Contract
Infosys
InfosysNYSE: INFY: Global provider of digital services and IT business consulting.
Expertise in AWS, advanced SQL, Python or Java, CI/CD, Databricks, MLOps, data pipelines, data platforms, and Power BI or Tableau; collaboration with technical and business stakeholders required.
AWS, SQL, Python, CI/CD, Databricks, MLOps, Power BI, Tableau, GitHub, GitHub Actions, Java
3d
Save
Mark Applied
Hide
Databricks Data Engineer Senior Analyst
Brisbane or Sydney or Melbourne
OnsiteFull Time
Avanade
Avanade: Provider of digital and cloud services on Microsoft platforms.
2+ YOE2+ years of Azure Databricks experience; proficiency in Spark, PySpark, Python or Scala, ETL/ELT, data modeling, and data warehousing. Australian citizenship and security-clearance eligibility required.
Azure Databricks, Azure Data Factory, Apache Spark, PySpark, Azure Synapse, Azure Blob Storage, Delta Lake, Python, Scala, Azure DevOps, Git, Terraform, SQL, NoSQL
3d
Save
Mark Applied
Hide
Databricks Data Engineer Senior Analyst
Brisbane or Melbourne or Sydney
OnsiteFull Time
Avanade
Avanade: Provides Microsoft-focused IT consulting and digital transformation services.
2+ YOERequires 2+ years of Azure Databricks experience, Spark/PySpark, Azure data services, Python or Scala, ETL/ELT, SQL/NoSQL, governance, and Agile experience. Australian citizenship and security-clearance eligibility required.
Azure Databricks, Azure Data Factory, Apache Spark, PySpark, Azure Synapse, Azure Blob Storage, Delta Lake, Python, Scala, Azure DevOps, Git, Terraform, SQL, NoSQL
3d
Save
Mark Applied
Hide
Senior Data Engineer (DBT and Databricks/Snowflake)
Melbourne, Victoria, Australia
OnsiteFull Time
NCS Australia
NCS AustraliaSGX: Z74: Provides IT consulting, cloud services, and digital transformation solutions.
5+ YOERequires Databricks or Snowflake, dbt, SQL, cloud platforms, Git, CI/CD, workflow orchestration, modern data architecture, analytical skills, stakeholder management, and technical leadership.
Databricks, PySpark, Spark SQL, Snowflake, dbt Core, dbt Cloud, SQL, Azure, AWS, GCP, Git, CI/CD, Airflow, Azure Data Factory
4d
Save
Mark Applied
Hide
Data Engineer
Melbourne, Victoria, Australia
HybridFull Time
Service Stream
Service StreamAustralian Securities Exchange: SSM: Provides essential network services for telecommunications, utilities, and transport.
3+ YOERequires 3–4 years of data engineering experience, end-to-end pipeline and data modeling expertise, Microsoft Fabric or Azure experience, Delta Lake, Power BI, and strong stakeholder communication skills.
Microsoft Fabric, Data Factory, Lakehouse, Notebooks, Delta tables, Python, Spark SQL, Power BI, Direct Lake, Git, OneLake, Azure, Synapse, Databricks, Delta Lake, DP-700, DP-900
1w
Save
Mark Applied
Hide
Senior Data Engineer (DataBricks)
Melbourne, Victoria, Australia
OnsiteFull Time
Tata Consultancy Services
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
10+ YOEDegree in engineering, computer science, or related technology; 10+ years as a software or data engineer; Azure certification; strong SQL/T-SQL, Spark, CI/CD, and engineering practices.
SQL, T-SQL, Spark, CI/CD, Microsoft Azure, Azure Synapse, Azure SQL Data Warehouse, Azure Databricks, Azure Data Factory, Azure Analysis Services, Azure Machine Learning, Azure Cosmos DB, Azure Event Hubs, Power BI
1w
Save
Mark Applied
Hide
Senior Associate Data Engineering
Melbourne, Victoria, Australia
OnsiteFull Time
Publicis Groupe
Publicis GroupeEuronext Paris: PUB: Global advertising and digital transformation agency holding.
Expertise in modern data architecture, cloud platforms, scalable data pipelines, Snowflake or Databricks, Python, SQL, distributed systems, CI/CD, automated testing, and infrastructure as code.
Terraform, CloudFormation, Azure Resource Manager, Helm, Google Cloud Deployment Manager, Snowflake, Databricks, Python, SQL, CI/CD