Analytics Engineer

Summary

Join GROW Inc., a FinTech company revolutionizing the Australian wealth management industry with its innovative DLTA platform. We are seeking a skilled data professional to collaborate with our team, design data models, and provide clean datasets for reporting. You will leverage your expertise in Python, Spark, DBT, and Databricks to optimize data pipelines and contribute to business solutions. We offer a flexible, remote-working environment, along with unique benefits like ME Days and birthday leave, health insurance, government contributions, and opportunities for professional development.

Requirements

Strong technical experience with languages and tools such as - Python, Spark, DBT, Databricks

Responsibilities

• Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
• Provide clean and appropriate data sets/views for data and reporting requirements to be delivered
• Provide insights and workshop with Data Engineers the gaps of data in the data lake for data engineers to pipeline in
• Apply appropriate statistical calculations and models against data sets in GROW’s Data Lake
• Continuous improvement activities on performance optimisation of all data pipelines and data stores, applying engineering best practices to code ie Versioning, automated testing, CI/CD
• Provide input into the discovery and solution phase for Business/Client needs, assessing risk in exposing data and working inline with GROW’s risk framework

Benefits

• ME Days - Take an additional 3 days of leave off per year for wellness!
• Birthday Leave - Take an extra day off per year on your birthday!
• Health insurance for you and 2 dependents
• Government Contributions paid on top of salary
• Flexible, remote working environment
• On-the-job learning and training