Do Work That Matters

- Build a centralised, trusted data warehouse for internal technology insights using Microsoft Fabric.
- Own complex engineering work across PySpark, SQL, medallion architecture and source-system integration.
- Apply AI-powered engineering thoughtfully across coding, testing, deployment and documentation.

- Build a centralised, trusted data warehouse for internal technology insights using Microsoft Fabric.
- Own complex engineering work across PySpark, SQL, medallion architecture and source-system integration.
- Apply AI-powered engineering thoughtfully across coding, testing, deployment and documentation.

Be part of the team driving enterprise-wide transformation at CommBank. In End User Experience team, you’ll help bring data from internal technology sources into a centralised Microsoft Fabric warehouse, creating a controlled and reusable foundation for reporting, analytics and data sharing across the organisation.

See yourself in our team

You’ll join a team-oriented, Sydney-based team working across data engineering, analytics and business stakeholders. Your focus will be to design, build and improve scalable data solutions that turn complex source data into trusted, analytics-ready products.

- Design and build data ingestion and transformation workloads in Microsoft Fabric using PySpark and advanced SQL.
- Apply medallion architecture principles across Bronze, Silver and Gold layers to create governed, reusable data products.
- Connect to and ingest data from APIs, web services, relational databases, files, cloud storage and event-based sources.
- Design analytics-friendly data models, including facts, dimensions and curated datasets.
- Implement data quality checks, reconciliation controls, validation, monitoring and robust error handling.
- Translate business and technical requirements into data models,



business rules and practical engineering solutions.
- Use source control, automated testing, continuous integration and delivery practices, and clear technical documentation.
- Collaborate with engineers, analysts, BI developers, architects and stakeholders in an Agile delivery environment.

We’re interested in hearing from people who:

- Have strong hands-on experience with Microsoft Fabric, PySpark and advanced SQL.
- Have extensive experience applying medallion architecture to enterprise data solutions.
- Can develop and troubleshoot scalable ingestion, transformation and API-based integration patterns across multiple environments.
- Understand data modelling, data lineage, metadata management, data quality and reconciliation controls.
- Use generative AI and coding‑assistant tools responsibly, including model selection, prompt and context design, cost awareness, output evaluation, security and human review.
- Are familiar with Git, automated testing, continuous integration and delivery, and release management for data engineering solutions.
- Can gather requirements and translate them into durable data models, rules and engineering outcomes.
- Experience with T‑SQL and dynamic SQL is desirable

Working with us

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📌 Senior Data Engineer (Microsoft Fabric, PySpark, SQL) (City of Sydney)
🏢 Commonwealth Bank
📍 City of Sydney