Job/Project Description – tasks to be performed on a daily basis:

Role Summary

We are seeking a Business Analyst with strong experience in business transformation, data platforms, analytics, and digital products. This role is business-focused: you will shape business outcomes, translate them into clear requirements, and define the features needed to deliver value across enterprise data and analytics initiatives.

Mandatory Requirements:

Key Responsibilities

- Data Transformation & Modelling

- Design, develop, and maintain scalable data models using dbt.
- Build high-quality datasets through complex transformations, joins, and aggregations.
- Apply testing, documentation, and data quality practices to analytical assets.

2. Snowflake Engineering
- Develop and optimise SQL-based solutions within Snowflake.
- Design performant, maintainable, and reliable transformation pipelines.
- Support data governance, consistency, and effective use of platform resources.

3. Databricks & Pipeline Development
- Develop and maintain Databricks notebooks and workflow pipelines.
- Support automated forecast execution using Databricks Workflows.
- Manage deployments using Databricks CLI and Databricks Asset Bundles (DABs).

4. Forecasting Data Enablement
- Prepare datasets that support forecasting and analytics workloads.
- Work closely with data scientists and analysts to deliver data requirements.
- Ensure forecasting inputs are accurate, trusted, and production-ready.

5. Engineering Excellence & Collaboration
- Write clean, maintainable,



and well-documented code.
- Participate in code reviews and technical design discussions.
- Collaborate effectively with engineers, analysts, and data scientists.

Key Skills & Experience

- 5 years of data engineering experience.
- Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or a related discipline.
- Strong problem-solving and analytical thinking.
- Ability to work with complex business and data requirements.
- Clear communication and stakeholder engagement skills.
- Ownership mindset and attention to detail.

Required Professional and Technical Expertise:

- Experience supporting forecasting, analytics, or data science workloads.
- Knowledge of statistical analysis, time-series data, or forecasting concepts.
- Experience with R and collaboration within data science environments.
- Knowledge of cloud-based data platforms and modern data architectures.

Desired Attributes and Skills:

Technical Skills

- Data Platforms:

Snowflake, data warehousing, and SQL optimisation.

- Data Transformation:

dbt, data modelling, testing, documentation, and CI/CD practices.

- Databricks:

Databricks notebooks, Workflows, Databricks CLI, and Databricks Asset Bundles.

- Programming:

Python and notebook-based development.

- Data Engineering:

ETL/ELT concepts, pipeline development, orchestration, and data quality management.

- Version Control & DevOps:

Git, deployment automation, and software engineering best practices.

📌 Data Engineer (Perth)
🏢 Zone IT Solutions
📍 Perth