At a Glance
- Tasks: Design and develop scalable data models and pipelines using cutting-edge tools like Snowflake and Databricks.
- Company: Join NTT Data, a leader in modern data and analytics solutions.
- Benefits: Enjoy a hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with a high-performing team in a dynamic, cloud-based environment.
- Why this job: Make an impact by building data platforms that drive business decisions and analytics.
- Qualifications: 5+ years in Data Engineering with strong skills in SQL, Snowflake, and dbt.
The predicted salary is between 56700 - 69300 $ per year.
- Hybrid work environment - 4 days per week in office
- Work across Databricks, Snowflake, Python and dbt
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
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
Data Engineer in Perth employer: NTT DATA Deutschland
NTT DATA Deutschland offers a hybrid work environment, allowing employees to balance their professional and personal lives effectively. The company emphasizes collaboration across teams, providing opportunities to work with advanced technologies such as Databricks, Snowflake, and machine learning frameworks. Employees can expect a supportive culture that fosters professional growth and development through engaging projects in data engineering and analytics.
