Analytics Engineer - Cloud Data Modeling & Pipelines

Ray White; City of Brisbane; Hybrid; AUD 90,000 - 120,000; Full time

Job summary

Ray White is seeking an Analytics Engineer for a 6 month maternity cover in the Customer Insights and Reporting team. The role is hybrid with 2 office days per week and preferably Brisbane, Melbourne or Sydney.

You will build scalable data models and pipelines on cloud platforms to enable analytics, BI, and data-driven decisions across the organisation. You will collaborate with product managers and stakeholders, ensure data quality, and implement data governance, with a focus on reusable,

Qualifications

• Required: strong SQL and dbt skills and cloud experience (GCP).
• Experience designing and implementing dbt pipelines and monitoring.
• Knowledge of data warehousing, ETL, and data integration in cloud environments.

Responsibilities

• Create standardised logical and physical data models to ensure high data quality.
• Design, develop and maintain scalable data pipelines for ingesting, transforming and storing data.
• Collaborate with stakeholders to understand data requirements and implement solutions.
• Surfaced enriched enterprise-level views to enable data-driven decisions with analysts.
• Support data quality and validation through data analysis and interpretation.
• Drive continuous improvements to data quality procedures and governance standards.
• Incorporate data governance standards at implementation.

Skills

SQL

dbt

GCP

Data warehousing

ETL

Analytics

Data governance

Tools

dbt pipelines

ThoughtSpot

Job description

Ray White is seeking an Analytics Engineer for a 6 month maternity cover in the Customer Insights and Reporting team. The role is hybrid with 2 office days per week and preferably Brisbane, Melbourne or Sydney.

You will build scalable data models and pipelines on cloud platforms to enable analytics, BI, and data-driven decisions across the organisation. You will collaborate with product managers and stakeholders, ensure data quality, and implement data governance, with a focus on reusable,