NTT DATA Logo

NTT DATA

Data Engineer

Posted 20 Days Ago
Be an Early Applicant
In-Office
Melbourne, Victoria, AUS
Senior level
In-Office
Melbourne, Victoria, AUS
Senior level
Design, build, and optimize scalable cloud data platforms, pipelines, data models, lakehouses, and warehouses using Microsoft Azure and Fabric. Integrate cloud and on-premises sources, develop transformations with SQL, Spark, and Python, and implement governance, security, quality, CI/CD, and performance controls. Collaborate with architects, analysts, data scientists, and stakeholders to support analytics, reporting, AI, and machine learning initiatives.
The summary above was generated by AI

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 optimize modern cloud data platforms, enabling organizations 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 optimize 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 optimize 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 & ExperienceEssential
  • 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:


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.

NTT DATA Melbourne, Victoria, AUS Office

Melbourne, Australia

Similar Jobs

7 Days Ago
In-Office or Remote
Australia
Entry level
Entry level
Artificial Intelligence • Software
Own EULER’s data lifecycle, including instrumentation, validation, reconciliation, privacy, anonymization, canonical data modeling, analytics datasets, documentation, and production pipelines. The role requires strong SQL, software engineering practices, independent ownership, skepticism toward data quality, and clear communication. Preferred experience includes GDPR/LGPD, multi-tenant B2B SaaS, dbt, statistics, Cloudflare Workers, Postgres, Parquet, DuckDB, and Bubble.
Top Skills: BubbleCloudflare WorkersDbtDuckdbHyperdriveParquetPostgresSQL
11 Days Ago
In-Office
Entry level
Entry level
Information Technology • Software • Consulting
Designs and maintains enterprise data integration pipelines between CrewConnect and connected systems. Builds scalable ingestion, transformation, validation, and ETL/ELT processes using Snowflake, dbt, AWS, and DevOps practices. Analyzes data flows, mappings, dependencies, and requirements; resolves integration, performance, and data-quality issues; and supports governance, metadata, lineage, stewardship, and access controls while collaborating with business and technical teams.
Top Skills: Amazon S3AWSAws IamCi/CdDbtDevOpsEltETLGitSnowflakeSQL
20 Days Ago
In-Office or Remote
Australia
Entry level
Entry level
Database
Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.
Top Skills: AWSAws Cost And Usage ReportsAws Cost ExplorerAws LambdaBashBigQueryCloudzeroDbtGCPGcp Billing ReportsHexLinearNotionPulumiPythonSQLTerraformVantage

What you need to know about the Melbourne Tech Scene

Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account