Job Description
Build acentralised, trusted data warehouse for internal technology insights using Microsoft Fabric.
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Own complex engineering work acrossPySpark, SQL, medallionarchitectureand source-system integration.
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Apply AI-powered engineering thoughtfully across coding, testing,deploymentand documentation.
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Do Work That Matters
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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 centralized Microsoft Fabric warehouse, creating a controlled and reusable foundation for reporting, analytics and data sharing across the organisation.
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See yourself in our team
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You'll join a collaborative, 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.
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Design and build data ingestion and transformation workloads in Microsoft Fabric using PySpark and advanced SQL.
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Apply medallion architecture principles across Bronze, Silver and Gold layers to create governed, reusable data products.
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Connect to and ingest data from APIs, web services, relational databases, files, cloud storage and event-based sources.
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Design analytics-friendly data models, including facts, dimensions and curated datasets.
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Implement data quality checks, reconciliation controls, validation, monitoring and robust error handling.
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Translate business and technical requirements into data models, business rules and practical engineering solutions.
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Use source control, automated testing, continuous integration and delivery practices,



and clear technical documentation.
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Collaborate with engineers, analysts, BI developers, architects and stakeholders in an Agile delivery environment.
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We're interested in hearing from people who:
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Bring strong hands‐on data engineering experience and can work confidently across design, development, troubleshooting and optimisation. You'll combine technical depth with sound judgement, explicit documentation and a collaborative approach.
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Have strong hands‐on experience with Microsoft Fabric, PySpark and advanced SQL.
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Have extensive experience applying medallion architecture to enterprise data solutions.
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Can develop and troubleshoot scalable ingestion, transformation and API‐based integration patterns across multiple environments.
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Understand data modelling, data lineage, metadata management, data quality and reconciliation controls.
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Use generative AI and coding‐assistant tools responsibly, including model selection, prompt and context design, cost awareness, output evaluation, security and human review.
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Arefamiliar with Git, automated testing, continuous integration and delivery, and release management for data engineering solutions.
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Can gather requirements and translate them into durable data models, rules and engineering outcomes.
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Experience with T‐SQL and dynamic SQL is desirable.
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Working with us:
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At CommBank,we'recommitted to creating an accessible,inclusiveand respectful workplace.If you require support or adjustments, please let us know.We welcome applications from people of allbackgroundsandwe'reparticularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. Forsupportplease contact ******** ***.
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📌 Senior Data Engineer (Microsoft Fabric, Pyspark, Sql) (New South Wales)
🏢 Commbank
📍 New South Wales