AFCA

Financial Services

DataPlatformEngineer

A$135–185k ~AI est. Melbourne, Victoria, 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, Lakehouse Architecture. Design scalable data pipelines. Build scalable data pipelines”

Industry & Context.

Financial Services
Problems you'll solve

Performance optimization; Cost optimization; Reliability optimization

What They're Looking For.

Must Have

Experience in data engineering, 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, Experience optimizing data pipelines, Experience with lakehouse architecture, Experience with Delta Lake, Experience with medallion architecture, Familiarity with infrastructure-as-code tools, Familiarity with Azure DevOps CI/CD, Understanding of data modelling concepts, Understanding of data warehousing principles, Understanding of modern data platform architectures, Excellent stakeholder management skills, Ability to communicate requirements, Growth mindset, Outcome-focused approach, Customer-centred approach, Pragmatic approach, Delivery-oriented approach

Nice to Have

Experience with Fabric, Experience with Terraform, Experience with ARM, Exposure to AI/ML workloads on Databricks, Exposure to MLflow, Exposure to model serving, Exposure to feature engineering, Experience with Azure AI Foundry, Experience in financial services, Experience in digital-first organisations, Experience in 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

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

Partner with data analysts; Partner with data engineers; Partner with data scientists; Partner with 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

Free ATS check

Applying for this Data Platform Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on SmartRecruiters

  • SmartRecruiters often includes a video screening step — check camera and mic permissions.
  • Link your GitHub or portfolio directly in the profile section for technical roles.
  • Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.

ANONYMOUS · UNFILTERED

What do employees actually say about AFCA?

Real rants from real employees. Read before you apply.

Read Company Rants →