Junior Analytics Engineer: Data Pipelines & Snowflake

Ploomo; Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

NTT DATA in Melbourne seeks an experienced Data Engineer to design and build modern cloud data platforms, enabling scalable analytics, reporting, and AI solutions. You will develop data pipelines, lakehouse solutions and data models using Microsoft Azure and Fabric technologies.

Collaborate with architects, analysts and data scientists to deliver data-driven outcomes, implement governance and CI/CD, and ensure scalable, cost-efficient data solutions across enterprise customers.

Qualifications

• 5+ years of experience in Data Engineering, Data Warehousing or Cloud Data Platform development.
• Strong experience with Microsoft Azure data services and Fabric technologies.
• Hands-on SQL development and data modelling skills.
• Experience with Python and PySpark for data pipelines.

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-prem sources.
• Design and optimise data models to support analytics, reporting and AI.
• Develop data transformation with 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 stakeholders to deliver data-driven outcomes.
• Support CI/CD implementation and automated deployment practices.

Skills

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Azure SQL

Azure Databricks

Azure DevOps

Microsoft Fabric

Lakehouse

Warehouse

OneLake

Power BI

Notebooks

SQL development

Data modelling

Python

PySpark

Star/Snowflake schema

Agile delivery

Stakeholder engagement

Education

Azure Data Engineer DP-203

Fabric Analytics Engineer DP-600

Azure Fundamentals AZ-900

Tools

Power BI

Notebooks (Azure)

PySpark environment

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 the 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 ML 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: Permanent

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We accelerate client success and positively impact society through responsible innovation. We are a global AI and digital infrastructure provider with unmatched capabilities in enterprise‑scale AI, cloud, security, connectivity, data centres and application services. We help organisations move confidently and sustainably into the digital future.

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We provide an environment free of unfair discrimination and harassment, and do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status or any other protected characteristic. We welcome all candidates regardless of background.