Data Engineer

NTT
Melbourne
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Stakeholder engagement","Problem-solving","Collaboration"]

Design, build, and optimize modern cloud data platforms for enterprise customers, enabling scalable analytics, reporting, and AI use cases. Develop robust data pipelines, ELT/ETL processes, and lakehouse/data warehouse solutions using Microsoft Azure and Microsoft Fabric. Create data models and integrations across cloud and on-premises sources, implement governance and security controls, and continuously monitor performance, reliability, and cost efficiency while collaborating with architects, analysts, and data scientists.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NTT
NTT
1 week ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Design, build, and optimize modern cloud data platforms for enterprise customers, enabling scalable analytics, reporting, and AI use cases. Develop robust data pipelines, ELT/ETL processes, and lakehouse/data warehouse solutions using Microsoft Azure and Microsoft Fabric. Create data models and integrations across cloud and on-premises sources, implement governance and security controls, and continuously monitor performance, reliability, and cost efficiency while collaborating with architects, analysts, and data scientists.
Location: Melbourne
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

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 across cloud and on-premises data sources, including data modelling for analytics, reporting, and AI.
  • •Implement data quality, governance, and security controls; monitor and optimize platform performance, reliability, and cost efficiency.

Key Requirements

  • •5+ years of 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, and Azure DevOps.
  • •Hands-on experience with Microsoft Fabric concepts including Data Factory, Lakehouse, Warehouse, OneLake, and Power BI (including Notebooks).
  • •Strong SQL development and data modelling skills, including experience with star and snowflake schemas.
  • •Experience developing data pipelines using Python and/or PySpark, including work in Agile delivery environments.
Experience:5+ yearsData engineeringData warehousingCloud data platformsEnterprise customersAzureMicrosoft Fabric
Skills:Stakeholder engagementProblem-solvingCollaboration
Certifications:Azure Data Engineer Associate (DP-203)Fabric Analytics Engineer Associate (DP-600)Azure Fundamentals (AZ-900)
Tech Stack:Microsoft AzureAzure Data FactoryAzure Data Lake StorageAzure Synapse AnalyticsAzure SQLAzure DatabricksAzure DevOpsMicrosoft FabricFabric Data FactoryLakehouseWarehouseOneLakePower BINotebooksSQLSparkPySparkPythonELTETL

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn