Job Description

Office locations in Sydney and Melbourne CBD

This is an exciting opportunity to work on large-scale data platforms, leveraging Palantir Foundry, PySpark, and SQL to build robust, scalable, and business-critical data solutions that support analytics, reporting, governance, and strategic decision-making.

You'll collaborate with stakeholders across business and technology teams, translating complex requirements into high-quality data products while contributing to the evolution of a modern enterprise data ecosystem.

What You'll Be Doing

• Design, develop, and maintain end-to-end data pipelines using Palantir Foundry, PySpark, and SQL.
• Build curated datasets, reusable transformation frameworks, and scalable data models.
• Develop and enhance Foundry workflows, ontology structures, and operational data assets.
• Optimise data processing solutions for performance, scalability, reliability, and maintainability.
• Partner with business stakeholders, architects, analysts, and engineering teams to deliver fit-for-purpose solutions.
• Troubleshoot and resolve production issues across complex data environments.
• Contribute to technical documentation, code reviews, engineering standards, and best practices.
• Participate in Agile delivery teams, including sprint planning, estimation, and delivery activities.

What We're Looking For

Essential Skills & Experience

• Strong hands-on experience with Palantir Foundry in enterprise environments.
• Advanced Python and PySpark development skills.
• Strong SQL expertise, including Spark SQL.
• Experience designing and building large-scale ETL/ELT pipelines and data transformation frameworks.
• Strong understanding of data modelling, data governance, and data quality principles.
• Experience working within complex enterprise environments.
• Proven ability to solve technical challenges and deliver reliable, production-grade solutions.
• Excellent stakeholder engagement and communication skills.

Highly Regarded

• Experience within banking, financial services, risk, or regulatory environments.
• Exposure to Foundry Ontology, Workshop, Contour, Quiver, or related Foundry components.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of CI/CD practices and tools such as Git, Jenkins, or similar.
• Exposure to AI, machine learning, or GenAI initiatives.
• Palantir Foundry certification or relevant cloud/data engineering certifications.

Why Apply?

• Work on enterprise-scale data platforms supporting critical banking and risk functions.
• Join a collaborative, highly skilled engineering team.
• Gain exposure to cutting-edge data technologies and modern data engineering practices.
• Contribute to impactful projects that directly influence business outcomes.
• Opportunity to further develop your expertise across Palantir Foundry, cloud technologies, and advanced analytics.