Job details
| Location: | New South Wales |
| Salary: | $140000 - $160000 per annum |
| Job Type: | Permanent |
| Discipline: | |
| Reference: | V-140673 |
| Posted: | about 3 hours ago |
Job description
About the Role
We’re partnering with a high-growth, technology-led financial services organisation building a modern Data & AI Platform to power analytics, machine learning, and next-generation AI capabilities across the business.
This is a hands-on engineering role within a small, high-impact team responsible for designing and scaling the foundations that enable trusted data, advanced analytics, and production-grade AI solutions.
Depending on your strengths, you may focus on:
- Building and scaling robust data pipelines and infrastructure
- Developing reusable platform patterns and guardrails
- Enabling product teams to safely deploy AI-driven features
- Operationalising machine learning and generative AI solutions
What You’ll Be
Doing Build & Scale the Data Platform
- Design, build and maintain scalable data pipelines and integrations
- Manage ingestion, transformation and quality across cloud data warehouses
- Improve reliability, performance and observability across the data stack
- Apply modern DevOps and infrastructure-as-code practices
- Support the deployment of machine learning and generative AI solutions into production
- Build strong data foundations and feature pipelines for AI experimentation
- Develop reusable templates and reference architectures for training, inference and deployment
- Enable squads to safely ship AI capabilities within defined governance frameworks
- Partner with cross-functional teams to support analytics, reporting and AI use cases
- Develop APIs, data products and trusted datasets for enterprise consumption
- Continuously enhance scalability, resilience and security of the platform
- Embed best practices in testing, version control and security
- Support compliance within regulated environments
- Promote responsible and ethical AI practices
What You’ll Bring
- Strong experience with cloud-based data platforms (AWS preferred)
- Hands-on experience with Snowflake or modern cloud data warehouses
- Experience with streaming or distributed processing technologies (e.g. Kafka, Spark, Kinesis, Flink)
- Strong software engineering skills in Python, Scala, Java or Kotlin
- Exposure to machine learning or AI systems in production environments
- Familiarity with MLOps, feature stores, or vector databases (highly regarded)
- Experience with infrastructure-as-code and CI/CD practices
- Understanding of governance, security and data quality in regulated industries
Why Apply?
- Work on real-world AI use cases beyond experimentation
- Influence architecture in a growing data and AI platform
- Join a lean, high-impact team with strong executive backing
- Build systems that directly power product innovation and business growth