Job details
| Location: | New South Wales |
| Salary: | $140000 - $160000 per annum |
| Job Type: | Permanent |
| Discipline: | |
| Reference: | V-140672 |
| Posted: | about 3 hours ago |
Job description
About the RoleWe’re working with a high-growth, technology-led financial services organisation building a modern Data & AI Platform that underpins analytics, machine learning, and emerging AI-driven capabilities across the business.
As a Data Engineer, you’ll play a pivotal role in designing and scaling the pipelines, infrastructure, and data products that power business intelligence, advanced analytics, and AI experimentation.
This is a hands-on engineering role combining strong software engineering fundamentals with modern data architecture practices. You’ll help enable secure, scalable, and production-ready data and AI solutions that empower cross-functional teams to leverage data effectively.
What You’ll Be Doing
Core Platform Engineering
- Design, build and maintain robust, scalable data pipelines and integrations
- Improve performance, observability and resilience across the data stack
- Support ingestion, transformation and quality assurance within modern cloud data warehouses
- Apply DevOps and infrastructure-as-code practices to enhance platform reliability
- Collaborate with Product and Engineering teams to operationalise machine learning and generative AI solutions
- Build strong data foundations and feature pipelines to support LLMs and advanced AI use cases
- Contribute to governance frameworks that enable safe and responsible AI deployment
- Work within cross-functional squads to support analytics, reporting and AI initiatives
- Develop data products, APIs and dashboards that improve access to trusted data across Finance, Risk, Product and other teams
- Continuously enhance the scalability, resilience and security of the broader data ecosystem
- Embed best practices across testing, version control and security
- Uphold high standards of data quality, observability and compliance within a regulated environment
- Promote responsible and ethical AI principles
What You’ll Bring
- Strong experience with cloud-based data platforms (AWS preferred)
- Hands-on experience with modern cloud data warehouses (e.g. Snowflake)
- Experience with streaming and distributed data 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 tooling, feature stores or vector databases (advantageous)
- Experience building dashboards or working with analytics tools (e.g. Tableau, Looker)
- Understanding of data governance, security and compliance within regulated industries
What’s in It for You?
- Hybrid working model
- Strong focus on learning, growth and career development
- Generous parental leave policies
- Additional wellbeing and recharge days
- Team-based volunteer initiatives
- Regular social events and collaborative team culture
- Health and wellness support initiatives