AFCA

Financial Services

DataPlatformEngineer

A$135–185k ~AI est. Sydney, New South Wales, Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“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.

Financial Services
Problems you'll solve

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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