Data Engineer

Davidson; Geelong; On-site; AUD 120,000 - 180,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Microsoft Fabric

Azure Databricks

Synapse

Snowflake

SQL

Python

Data pipelines

Git

Azure Data Factory

PySpark

Tools

Git

Data Factory

PySpark

Databricks notebooks

Job description

About Barwon Water

Davidson has partnered with Barwon Water to appoint experienced Data Engineers to join its Digital Engineering team and help strengthen the organisation's enterprise data capability required to support one of regional Victoria's most significant transformation agendas.

Barwon Water delivers water, sewerage and recycled water services to more than 330,000 people across the Geelong region and surrounding communities. Through a major Digital Business Transformation program, the organisation is investing in new technologies, operating models and ways of working that will shape the future of the business and the communities it serves.

Abo ut the Role

• Design, build and operate scalable batch and near-real-time data pipelines, models and reusable data products that support trusted analytics, reporting and approved AI use cases.
• Build and maintain data solutions across Microsoft Fabric, including Lakehouses, Warehouses, PySpark notebooks and Data Factory pipelines, transforming enterprise data into trusted datasets and semantic models.
• Engineer data quality into solutions through validation, profiling, reconciliation and monitoring, ensuring issues are identified and managed before they impact downstream users.
• Apply modern engineering practices including Git-based source control, automated testing, deployment automation, peer review, monitoring, alerting and production support to deliver reliable and maintainable solutions.

About You

• Strong hands-on data engineering experience across Microsoft Fabric or comparable modern data platforms such as Azure Databricks, Synapse or Snowflake, with experience building layered Lakehouse architectures, data models and pipelines.
• Strong SQL and working Python skills, with experience ingesting data from SaaS platforms, cloud services and on-premises enterprise systems using secure and supportable integration patterns.
• Experience building reliable data pipelines with data quality controls, error handling, monitoring and safe rerun processes, along with the ability to troubleshoot and contribute to root cause analysis in production.
• A strong technical mindset combined with commercial awareness and a consulting approach, with the ability to explain technical trade-offs to business stakeholders, collaborate with engineers and work effectively within Agile delivery teams.

The Benefits

This is a unique opportunity to contribute to Barwon Water's growing enterprise data capability during a significant digital transformation. You'll design scalable data pipelines, models and products that enable trusted analytics, reporting and AI outcomes, while working alongside a collaborative Digital Engineering team committed to innovation and continuous improvement.

Based in Geelong, this permanent full-time role offers a hybrid working model with three days per week in the office, providing flexibility while supporting close collaboration with stakeholders and delivery teams.

To learn more about Davidson, visit davidsonwp.com.