AFCA
Financial Services
DataPlatformEngineer
Neural analysis suggests this role is
optimal for not-applicable candidates.
“Data Platform Engineer at AFCA. Skills: Data Platform Engineering, Azure Data Ecosystem, Data Pipelines, AI/ML. Design scalable data pipelines. Build scalable data pipelines”
What You'll Achieve.
Deliver analytics at pace; Deliver insights at pace; Deliver AI capability at pace; Future-proof platform; Align to enterprise vision
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Data engineering or data platform experience, Hands-on expertise in Azure Data Factory, Hands-on expertise in Azure SQL, Hands-on expertise in Databricks, Hands-on expertise in Synapse Analytics, Hands-on expertise in Azure data ecosystem, Proficiency in SQL, Proficiency in Python, Proficiency in PySpark, Proficiency in Spark SQL, Experience building data pipelines at scale, Experience optimizing data pipelines at scale, Experience with lakehouse architecture, Experience with Delta Lake architecture, Experience with medallion architecture, Familiarity with infrastructure-as-code tools, Familiarity with Azure DevOps CI/CD practices, Understanding of data modelling concepts, Understanding of data warehousing principles, Understanding of modern data platform architectures
Nice to Have
Experience with Fabric, Experience with Terraform, Experience with ARM, Exposure to supporting AI/ML workloads, Experience with MLflow, Experience with model serving, Experience with feature engineering, Experience with Azure AI Foundry, Experience in financial services, Experience in digital-first organisations, Experience in highly regulated environments
What You'll Do.
Design scalable data pipelines
Build scalable data pipelines
Maintain scalable data pipelines
Design lake architectures
Build lake architectures
Maintain lake architectures
Design lakehouse architectures
Build lakehouse architectures
Maintain lakehouse architectures
Develop batch pipelines
Develop streaming pipelines
Deliver reliable data
Deliver high-quality data
Drive CI/CD best practice
Drive infrastructure as code
Drive automated testing
Contribute to data models
Contribute to architectures
Ensure solutions align with security
Ensure solutions align with privacy
Ensure solutions align with data governance
Partner with data analysts
Partner with data engineers
Partner with data scientists
Partner with AI teams
Improve platform capability
Improve developer experience
How You'll Work.
Team & Collaboration
Data analysts; Data engineers; Data scientists; AI teams
Communication Scope
Communicate requirements
Process & Methodology
CI/CD, Infrastructure as code
Full Job Description
Fairness feels good Make a real impact at AFCA. Where fairness drives every decision. Help us deliver world-class, independent complaints resolution for Australians. As a not-for-profit and progressive financial ombudsman, we’re championing positive change. Achieving our purpose takes progressive thinking, accountability and resilience. At AFCA, our inclusive leadership values every voice. We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise. Flourish in a diverse, caring culture. Feel the difference of belonging to an organisation intentionally designed to put people first. As a Data Platform Engineer , you’ll be at the heart of building and evolving our modern data platform, powered by Azure Data Factory, Azure SQL, Databricks, Synapse Analytics, and AI Foundry. This platform is critical to how we deliver analytics, insights, and AI capability across the organisation. You’ll ensure the platform is reliable, scalable, and high-performing , enabling trusted data delivery at pace, while playing a key role in supporting AFCA’s growing data and AI ambitions. Staying ahead of cloud-native innovation , you’ll continuously look for ways to enhance architecture, drive automation, and improve efficiency, helping future-proof our platform and keep us aligned to our enterprise vision. What you’ll be doing: * Design, build and maintain scalable data pipelines, lake and lakehouse architectures across Azure (ADF, Databricks, Synapse, Azure SQL) * Develop robust batch and streaming pipelines to deliver reliable, high-quality data across the organisation * Drive best practice through CI/CD, infrastructure as code, automated testing and observability * Monitor and optimise performance, cost and reliability (clusters, jobs, queries and governance) * Contribute to data models and architectures that enable analytics and AI/ML use cases * Ensure solutions align with security, privacy and data governance standards * Partner closely with da
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