Senior Data Engineer (Microsoft Fabric)
At a glance
Senior Data Engineering role at Yarra Trams. VIC.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after scalable pipelines and data products across Microsoft Fabric, including OneLake, Lakehouse and Warehouse
- Create batch and near real-time ingestion and transformation workflows with SQL, PySpark, Dataflows Gen2 and Fabric workloads
- Shape data models around medallion architecture, then apply governance, lineage, metadata and security controls
- Tune Fabric capacity, add monitoring and alerts, and maintain CI/CD practices and engineering standards
- Document the technical work and help with operational service management
What you bring
- At least five years working in enterprise data engineering
- Strong hands-on Microsoft Fabric experience, including administration and capacity management
- Advanced SQL and PySpark skills, with experience in Lakehouse and medallion architecture
- Knowledge of governance, lineage, metadata and security controls, plus automated testing, source control and CI/CD
Who this fits
This suits a senior data engineer who can build Fabric pipelines and products while maintaining platform standards. It is a two-year fixed-term role based in Victoria, Australia.
From the employer
Ding! Ding! Trams are the heartbeat of Melbourne – come be part of our team on the largest and most iconic tram network in the world.
About the Opportunity
Yarra Trams is seeking a highly capable Senior Data Engineer to join our Data and Integration team. This 2-year fixed term role is responsible for designing, building and maintaining scalable data products and data pipelines within our Microsoft Fabric platform.
You will play a key role in transforming enterprise data into trusted, high-quality information that supports operational performance, contractual obligations and strategic decision-making across Yarra Trams. Working across Microsoft Fabric, you will contribute to the ongoing development of our Data Management Platform, helping establish engineering standards, governance frameworks and scalable data solutions that support self-service analytics and enterprise reporting.
What You Will Be Doing
-
Design, build and maintain scalable Microsoft Fabric data pipelines and data products using OneLake, Lakehouse, Warehouse, Data Factory and Fabric notebooks.
-
Develop and optimise batch and near real-time data ingestion and transformation solutions using SQL, PySpark, Dataflows Gen2 and Fabric workloads.
-
Implement medallion architecture patterns and scalable data models.
-
Apply governance, lineage, metadata and security standards.
-
Administer and optimise Microsoft Fabric capacities.
-
Develop monitoring, alerting and observability capabilities.
-
Maintain CI/CD and engineering standards.
-
Produce and maintain technical documentation.
-
Support operational service management activities.
What You Will Bring
-
Minimum 5 years' experience in enterprise data engineering.
-
Strong Microsoft Fabric experience.
-
Advanced SQL and PySpark skills.
-
Experience with Lakehouse and medallion architecture.
-
Experience with Microsoft Fabric administration and capacity management.
-
Knowledge of data governance, lineage, metadata and security controls.
-
Experience with automated testing, source control and CI/CD practices.
-
Strong stakeholder engagement, communication and problem-solving skills.
-
Experience with Azure Data Factory, Databricks, Synapse Analytics or related Azure services will be highly regarded.
Applications close:
25 October 2026
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.