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.
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Design, develop, and maintain end-to-end data pipelines using Palantir Foundry, PySpark, and SQL.
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Build curated datasets, reusable transformation frameworks, and scalable data models.
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Develop and enhance Foundry workflows, ontology structures, and operational data assets.
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Optimise data processing solutions for performance, scalability, reliability, and maintainability.
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Partner with business stakeholders, architects, analysts, and engineering teams to deliver fit-for-purpose solutions.
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Troubleshoot and resolve production issues across complex data environments.
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Contribute to technical documentation, code reviews, engineering standards, and best practices.
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Participate in Agile delivery teams, including sprint planning, estimation, and delivery activities.
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Strong hands-on experience with Palantir Foundry in enterprise environments.
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Advanced Python and PySpark development skills.
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Strong SQL expertise, including Spark SQL.
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Experience designing and building large-scale ETL/ELT pipelines and data transformation frameworks.
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Strong understanding of data modelling, data governance, and data quality principles.
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Experience working within complex enterprise environments.
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Proven ability to solve technical challenges and deliver reliable, production-grade solutions.
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Excellent stakeholder engagement and communication skills.
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Experience within banking, financial services, risk, or regulatory environments.
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Exposure to Foundry Ontology, Workshop, Contour, Quiver, or related Foundry components.
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Experience with cloud platforms such as AWS, Azure, or GCP.
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Knowledge of CI/CD practices and tools such as Git, Jenkins, or similar.
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Exposure to AI, machine learning, or GenAI initiatives.
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Palantir Foundry certification or relevant cloud/data engineering certifications.
Why Apply?
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Work on enterprise-scale data platforms supporting critical banking and risk functions.
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Join a collaborative, highly skilled engineering team.
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Gain exposure to cutting-edge data technologies and modern data engineering practices.
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Contribute to impactful projects that directly influence business outcomes.
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Opportunity to further develop your expertise across Palantir Foundry, cloud technologies, and advanced analytics.
