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Palantir PySpark Developer
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Req. VR-123137
We are seeking a Senior Palantir PySpark Developer to join our data engineering team supporting key banking platforms and analytics initiatives. In this role, you will develop data pipelines and processing solutions on a traded risk platform using Palantir Foundry, PySpark, and SQL. You will collaborate closely with business and technology stakeholders to translate requirements into production-ready data solutions that enable reporting, analytics, governance, and operational decision-making.
Design and develop end-to-end data pipelines in Palantir Foundry using PySpark and SQL.
Build curated datasets, reusable transformation logic, and data models to support analytics and reporting requirements.
Develop and maintain Palantir Foundry solutions, including pipeline workflows, ontology structures, and operational data assets.
Optimize code and pipelines for performance, scalability, and reliability in a large enterprise environment.
Collaborate with business stakeholders, data analysts, architects, and downstream consumers to clarify requirements and deliver fit-for-purpose solutions.
Support testing, validation, troubleshooting, and resolution of production issues across data pipelines.
Contribute to documentation, code reviews, best practices, and knowledge sharing within the team.
Participate in agile delivery teams with involvement in sprint planning, estimation, and delivery reviews.
Must have
Proven expertise in Palantir Foundry with practical application.
Advanced proficiency in Python and PySpark for development in production settings.
Strong command of SQL, particularly Spark SQL.
Skilled in designing and implementing large-scale data pipelines, ELT/ETL workflows, and data transformations.
Deep understanding of data modeling, data quality standards, and data governance principles.
Experience operating within complex enterprise or banking environments.
Ability to diagnose technical issues and develop stable, maintainable solutions.
Excellent communication and collaboration capabilities with stakeholders.
Nice to have
Experience in the Australian banking, financial services, or regulatory sectors, providing relevant industry context.
Familiarity with Foundry Ontology, Workshop, Contour, Quiver, or code repositories, indicating technical exposure.
Exposure to cloud platforms such as AWS, Azure, or GCP, demonstrating understanding of cloud environments.
Experience with CI/CD processes and tools like Git, Jenkins, or similar DevOps technologies.
Learning/GenAI use cases, reflecting broad technical awareness.
Possession of Palantir Foundry certification or cloud/data engineering certifications, denoting advanced qualifications.
(All skills are advantageous but not mandatory.)
Languages
English: C2 Proficient
Seniority
Senior
Sydney, Australia
Req. VR-123137
Data Modeling
BCM Industry
29/05/2026
Req. VR-123137
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