Data Engineer

NTT DATA, Inc.; Perth; Hybrid; AUD 120,000 - 180,000; Full time

Job summary

NTT Data in Perth is seeking an experienced Data Engineer to join a high-performing team delivering modern data and analytics solutions in a cloud-based environment. The role offers a contract through to end of June 2027 with hybrid work—4 days per week in the office.

You will work with Snowflake, Databricks and dbt to build scalable data platforms that support forecasting, analytics and business decision making, collaborating with data scientists and business stakeholders.

Qualifications

• 5+ years' experience in Data Engineering.
• Strong experience with Snowflake, data warehousing and SQL optimisation.
• Hands-on experience with dbt, including data modelling, testing and documentation.
• Experience developing solutions within Databricks, including Workflows, Databricks CLI and Databricks Asset Bundles.
• Experience building ETL/ELT pipelines and managing data quality processes.

Responsibilities

• Design, develop and maintain scalable data models and transformation pipelines using dbt.
• Build and optimise high-quality datasets through complex transformations, joins and aggregations.
• Develop and support SQL-based solutions within Snowflake, ensuring performance, reliability and scalability.
• Build, maintain and deploy Databricks notebooks, workflows and automated data pipelines.
• Prepare and manage trusted datasets that support forecasting, analytics and reporting initiatives.
• Collaborate closely with data scientists, analysts and business stakeholders to deliver data requirements.
• Implement data quality, testing, documentation and governance best practices.
• Write clean, maintainable and well-documented code and contribute to code reviews and technical design discussions.
• Support CI/CD processes, deployment automation and modern software engineering practices.
• Continuously improve platform performance, reliability and data engineering capability.

Skills

Data engineering

SQL optimisation

Analytical thinking

Stakeholder engagement

Ownership mindset

Tools

Snowflake

dbt

Databricks

Databricks Workflows

Databricks CLI

Databricks Asset Bundles

Git

CI/CD

Job description

NTT Data are seeking an experienced Data Engineer to join a high performing team delivering modern data and analytics solutions in a cloud based environment.

• Contract through to end of June 2027
• Perth CBD location, ASAP start
• Hybrid working – 4 days per week in office

This is an exciting opportunity to work across Snowflake, Databricks and dbt, helping to build scalable data platforms that support forecasting, analytics and business decision-making.

Key Responsibilities

• Design, develop and maintain scalable data models and transformation pipelines using dbt
• Build and optimise high-quality datasets through complex transformations, joins and aggregations
• Develop and support SQL-based solutions within Snowflake, ensuring performance, reliability and scalability
• Build, maintain and deploy Databricks notebooks, workflows and automated data pipelines
• Prepare and manage trusted datasets that support forecasting, analytics and reporting initiatives
• Collaborate closely with data scientists, analysts and business stakeholders to deliver data requirements
• Implement data quality, testing, documentation and governance best practices
• Write clean, maintainable and well-documented code and contribute to code reviews and technical design discussions
• Support CI/CD processes, deployment automation and modern software engineering practices
• Continuously improve platform performance, reliability and data engineering capability

Skills & Experience

• 5+ years' experience in Data Engineering
• Strong experience with Snowflake, data warehousing and SQL optimisation
• Hands-on experience with dbt, including data modelling, testing and documentation
• Experience developing solutions within Databricks, including Workflows, Databricks CLI and Databricks Asset Bundles
• Experience building ETL/ELT pipelines and managing data quality processes
• Knowledge of Git, CI/CD and deployment automation practices
• Strong analytical, problem-solving and stakeholder engagement skills
• Ability to work effectively with complex business and data requirements
• Strong attention to detail and an ownership mindset

Nice to Have

• Experience supporting forecasting, analytics or data science workloads
• Knowledge of time-series data and forecasting concepts
• Experience working with R
• Exposure to modern cloud data platforms and data architectures