In-Demand Python developer Jobs in Melbourne Vic

Data Platform Engineer
Australian Financial Complaints Authority —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
6h
Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- CRM software
- AWS
- Presentation skills
6d
Senior AI Engineer
Karbon —Melbourne VIC
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
12d
Senior Platform Engineer - Observability
Kraken —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- AI
- Communication skills
Quick Apply
Staff or Senior Technical Application Engineer – Windows 11 PC Ecosystem (Australia)
Qualcomm —Melbourne VIC
- Remote
- Management
- Doctoral degree
- Computer Science
Specialist Power Systems Engineer
Vestas —Melbourne VIC
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
- Parental leave
- Employee assistance program
Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst
Accenture —Melbourne VIC
- Full-time
- CRM software
- DevOps
- AWS
TL Data and Analytics Legacy
AIA —Melbourne VIC
- Full-time
- Azure
- SQL
- Analysis skills
Solution Architect
Future Secure AI —Melbourne VIC
- Azure
- DevOps
- AWS
Quick Apply
Lead Data Engineer
Karbon —Melbourne VIC
- Azure
- DevOps
- SQL
- Annual leave
- Parental leave
Quick Apply
Senior DevSecOps Engineer
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Scripting
14d
Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Senior DevOps Engineer
Tes Global —Melbourne VIC
- Full-time
- Azure
- DevOps
- AWS
Quick Apply
Senior DevOps Engineer
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Management
- DevOps
- Free parking
- Employee stock purchase plan
Senior DevOps Engineer - Contract/Perm
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- AWS
- Leadership
- Parental leave
Quick Apply
Senior Platform Engineer
Mecca Brands Pty Ltd —Richmond VIC
- Full-time
- Azure
- Management
- Computer Science

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Data Platform Engineer

Australian Financial Complaints Authority -
Melbourne VIC

Apply Now

Job Details

Full-time
6 hours ago

Qualifications

CI/CD
Data modelling
Azure
Computer Science
SQL
Bachelor's degree
Terrafrom
Data pipeline
Financial services
AI
Data warehouse

Full Job Description

Company 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.

Job Description

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 data analysts, engineers, scientists and AI teams to improve platform capability and developer experience

Qualifications

To be successful in this role, you will need:

Strong experience in data engineering or data platform roles, with demonstrated hands-on expertise in Azure Data Factory, Azure SQL, Databricks, Synapse Analytics and the broader Azure data ecosystem or similar (e.g. Fabric).
A Bachelor degree in Computer Science, Information Systems or relevant field
Proficiency in SQL, Python, PySpark and Spark SQL, with experience building and optimising data pipelines at scale.
Experience with lakehouse, Delta Lake and medallion architecture patterns. Familiarity with infrastructure-as-code tools (e.g. Terraform, ARM) and Azure DevOps CI/CD practices for data platform deployments.
Understanding of data modelling concepts, data warehousing principles and modern data platform architectures.
Exposure to supporting AI/ML workloads on Databricks (e.g. MLflow, model serving, feature engineering) highly regarded.
Experience with or exposure to Azure AI Foundry highly regarded.
Experience in financial services, digital‑first organisations or highly regulated environments highly regarded.
Excellent stakeholder management skills, with the ability to clearly communicate end elicit requirements from non-technical audiences.
Growth mindset with a practical, outcome‑focused approach.
Customer‑centred, pragmatic and delivery‑oriented.

Additional Information

Silver AWEI Accreditation 2025 – Recognised for LGBTQ+ workplace inclusion.
Accredited Family Friendly Workplace – Supporting work-life balance and inclusivity.
Hybrid working – Flexible arrangements with two days a week in our modern offices designed for collaboration and wellbeing.
Additional and inclusive leave options – Flexible public holidays, gender affirmation leave, women’s health leave, and bonus paid time off over the end of year holiday period.

To apply

If you’re passionate about fairness and believe your skills align with this role, we encourage you to apply even if you don’t meet every single criterion.

We welcome applications from people of all backgrounds, cultures, abilities, sexual orientations, and gender identities. If you require any accessibility support during the recruitment process, please reach out to our team at [email protected].

We believe fairness starts with people. That’s why we don’t use AI or automated tools to screen candidates. As a result, our processes may take a little longer, and we thank you for your patience.

About AFCA

The Australian Financial Complaints Authority (AFCA) was established in 2018 as a private not-for-profit ombudsman service providing free, fair and independent help with financial disputes. The original team has grown to over 1600 dedicated professionals. Since 2018, AFCA has received more than 634,000 complaints, helping to secure $2.1 billion in compensation for consumers.

AFCA is a 2026 Circle Back Initiative Employer - we are committed to responding to every applicant.

Apply Now

Refine Your Search

python developer jobs in melbourne vic

Data Platform Engineer

Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions

Senior AI Engineer

Senior Platform Engineer - Observability

Staff or Senior Technical Application Engineer – Windows 11 PC Ecosystem (Australia)

Specialist Power Systems Engineer

Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst

TL Data and Analytics Legacy

Solution Architect

Lead Data Engineer

Senior DevSecOps Engineer

Senior Gemini Platform Engineer

Senior DevOps Engineer

Senior DevOps Engineer

Senior DevOps Engineer - Contract/Perm

Senior Platform Engineer

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