Hybrid Data Engineer – Lakehouse & AI Pipelines

Davidson; Geelong; Hybride; AUD 120 000 - 180 000; Plein temps

Résumé du poste

Barwon Water, partnered with Davidson, is expanding its Digital Engineering team in Geelong to advance enterprise data capabilities for a major transformation. The role focuses on designing scalable data pipelines and trusted datasets to support analytics and AI use cases.

The successful candidate will work on modern platforms like Microsoft Fabric, Databricks and Synapse, contributing across the data lifecycle in an Agile environment.

Qualifications

• Strong hands-on data engineering experience with modern data platforms.
• Experience with layered Lakehouse architectures, data models and pipelines.
• Proficiency in SQL and Python for data ingestion and transformation.
• Ability to build reliable data pipelines with quality controls and monitoring.

Responsabilités

• Design, build and operate scalable batch and near-real-time data pipelines, models and reusable data products.
• Build and maintain data solutions across Microsoft Fabric, Lakehouses, Warehouses, PySpark notebooks and Data Factory pipelines.
• Engineer data quality into solutions with validation, profiling, reconciliation and monitoring.
• Apply modern engineering practices: Git, automated testing, deployment automation, peer review, monitoring and production support.

Connaissances

Microsoft Fabric

Azure Databricks

Synapse

Snowflake

SQL

Python

Data pipelines

Git

Azure Data Factory

PySpark

Outils

Git

Data Factory

PySpark

Databricks notebooks

Description du poste

Barwon Water, partnered with Davidson, is expanding its Digital Engineering team in Geelong to advance enterprise data capabilities for a major transformation. The role focuses on designing scalable data pipelines and trusted datasets to support analytics and AI use cases.

The successful candidate will work on modern platforms like Microsoft Fabric, Databricks and Synapse, contributing across the data lifecycle in an Agile environment.