In-Demand Data processing analyst Jobs

Senior Palantir PySpark Developer
Nixil —Sydney NSW
- Full-time
- Azure
- SQL
- AWS
5d
Quantitative Analyst - Prediction Markets
Moreton Capital Partners —Australia
- Full-time
- Remote
- Research
- Master's degree
- Bachelor's degree
Quick Apply
13d
Data Processing Analyst
IRI Worldwide (Australia) —Blenheim Road NSW
- Hybrid work
- Microsoft Excel
- Research
- Databases
- Annual leave
- Parental leave
Quick Apply
2h

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Quantitative Analyst - Prediction Markets
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Experience with blockchain data or on-chain analytics tools relevant to decentralised prediction market platforms. Applications reviewed on a rolling basis.
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Senior Palantir PySpark Developer

Nixil
Sydney NSW

Apply Now

Job Details

Permanent | Full-time
5 days ago

Qualifications

CI/CD
Data modelling
Azure
Git
Google Cloud Platform
SQL
AWS
Financial services
AI
Jenkins
Communication skills

Full 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.

Apply Now

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