Senior Data Engineer - Cloud Data Platform Pro

Vine Resources Limited.; Brisbane; Sur place; AUD 96 000 - 165 000; Plein temps

Résumé du poste

Vine Resources Limited is seeking a Senior Data Engineer to design, build, and optimise scalable cloud data platforms and integration pipelines. You will work in Brisbane or London within an Agile environment, turning complex raw data into high-value business assets.

The role focuses on ETL/ELT pipelines, cloud architectures using Azure-related tools, dimensional modelling, and CI/CD governance. Collaboration with cross-functional teams is essential to deliver secure data solutions.

Qualifications

• Hands-on data engineering experience in complex enterprise environments.
• Strong SQL and Python skills required.
• Experience with modern cloud stacks (Azure, Databricks, Microsoft Fabric).
• Background in dimensional data modelling, REST API integration, and CI/CD practices.

Responsabilités

• Pipeline Delivery: Build, automate, and maintain robust ETL/ELT pipelines and API workflows.
• Cloud Architecture: Develop and optimise data solutions on cloud platforms (Azure Synapse, Databricks, Fabric).
• Data Modelling: Design dimensional models, schemas and storage for self-serve analytics.
• DevOps & Quality: Implement CI/CD, testing frameworks, and version control to ensure data integrity.
• Collaboration: Work with architects, analysts, and Agile squads to deliver secure, governance-compliant solutions.

Connaissances

SQL

Python

Azure

Databricks

Data modelling

CI/CD

REST API

Outils

Azure Data Factory

Synapse

Databricks

Microsoft Fabric

Description du poste

Vine Resources Limited is seeking a Senior Data Engineer to design, build, and optimise scalable cloud data platforms and integration pipelines. You will work in Brisbane or London within an Agile environment, turning complex raw data into high-value business assets.

The role focuses on ETL/ELT pipelines, cloud architectures using Azure-related tools, dimensional modelling, and CI/CD governance. Collaboration with cross-functional teams is essential to deliver secure data solutions.