Data Systems Engineer

3 days ago

Melbourne, Victoria, Australia beBeeData Full time $190,000 - $205,000

Unlock Your Technical Expertise

About the Role

A data engineer plays a pivotal role in driving impact in an organization dedicated to regenerating nature and protecting the planet.

  • Deliver a High-Performing Data Warehouse: Lead the development and optimization of a scalable data warehouse to support analytics, AI/ML workloads, and customer relationship management platforms.
  • Design Efficient Data Models for Analytics and ML: Create structured, performant, and ML-ready data models using SQL and dbt to ensure efficient storage, transformation, and accessibility.
  • Develop and Manage ETL Pipelines: Build robust ETL processes leveraging cloud-native tools and Python to enable reliable data ingestion, transformation, and delivery across platforms.

Applying your skills in data warehousing, cloud technologies, SQL, Python, BigQuery, dbt, and Power BI will support a mission-driven team committed to nature regeneration by 2030.

Key Responsibilities:

  • Develop and maintain a high-performing data warehouse in Google BigQuery.
  • Design efficient data models for analytics and machine learning.
  • Develop and manage ETL pipelines.

Requirements:

  • Expertise in data warehousing, cloud technologies, SQL, Python, BigQuery, dbt, and Power BI.
  • Strong understanding of data engineering principles and practices.
  • Ability to design and implement scalable data models.

What We Offer:

  • Opportunity to contribute to a mission-driven team.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

How to Apply:

Apply your technical expertise to drive impact in an organization dedicated to regenerating nature and protecting the planet.

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