Associate Data Engineer: Real-Time Data Pipelines

Village Roadshow Ltd; Gold Coast City; Hybrid; AUD 70,000 - 100,000; Full time

Job summary

Village Roadshow Ltd. is seeking an Associate Data Engineer to help develop and support our centralised data platform at Movie World, Oxenford on the Gold Coast.

You will integrate data from multiple systems to deliver reliable data assets for reporting and analytics. You will work within the Microsoft Fabric environment, building pipelines and curated datasets, while collaborating with business teams to translate requirements into practical data solutions and to improve data quality and

Qualifications

• Experience using SQL and Python for data engineering, analytics or data processing.
• Understanding of data integration, transformation and pipeline development.
• Experience with data from multiple systems in large/complex environments.
• Familiarity with BI platforms (Power BI/Qlik/Tableau) and data fabric environments.

Responsibilities

• Support development and administration of the Microsoft Fabric data platform (Lakehouse, Warehouse, pipelines).
• Build and maintain data pipelines ingesting data from multiple systems, for scheduled and near real-time use.
• Develop curated datasets, staging tables and reporting views for operational reporting and analytics.
• Collaborate with business, technology and insights teams to understand data requirements and source systems.
• Assist with data validation, monitoring and reconciliation for data quality.

Skills

SQL

Python

Data integration

Data transformation

Data modelling

Analytical skills

Stakeholder engagement

Tools

Microsoft Fabric

Power BI

Qlik

Tableau

Git

Job description

Village Roadshow Ltd. is seeking an Associate Data Engineer to help develop and support our centralised data platform at Movie World, Oxenford on the Gold Coast.

You will integrate data from multiple systems to deliver reliable data assets for reporting and analytics. You will work within the Microsoft Fabric environment, building pipelines and curated datasets, while collaborating with business teams to translate requirements into practical data solutions and to improve data quality and