Job Description

Data Engineer III

Are you passionate about transforming complex data into powerful insights that drive real business decisions? Do you thrive at the intersection of cutting-edge data platforms and enterprise risk management? If so, we want to hear from you! Join us as a Data Engineer and play a pivotal role in shaping the data backbone of one of the world's leading reinsurance companies.

About the Role

We are seeking an experienced Data Engineer with expertise in Palantir Foundry and Artificial Intelligence Platform (AIP) to join our Risk Management InfoTech department. In this role, you will design, build, and scale enterprise data and AI solutions that support risk analytics, operational workflows, and critical business decision-making.

Working closely with risk management experts, business stakeholders, data scientists, and technology teams, you will develop robust data pipelines, operational applications, and AI-powered solutions that transform complex business requirements into scalable, secure, and production-ready capabilities.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data models within Palantir Foundry, ensuring data quality, reliability, and integrity.
• Build and manage data transformations using Foundry Code Repositories, Pipeline Builder, and Ontology, supporting analytics, reporting, operational applications, and risk management use cases.
• Develop Python-based data processing solutions and integrate data from enterprise systems, databases, APIs, cloud platforms, and third-party applications.
• Design, implement, and support AI-enabled solutions using Palantir AIP, including AI-assisted workflows, AIP Logic, AIP Assist, and LLM-powered decision-support capabilities.
• Collaborate with business stakeholders, risk management teams, data scientists, and engineers to translate business requirements into scalable, secure, and production-ready solutions.
• Ensure data governance, lineage, security, access controls, and compliance standards across data and AI assets.
• Monitor, troubleshoot, and optimize data pipelines, AI workflows, and performance to improve scalability, reliability, and cost efficiency.
• Document data assets, processes, and architectures, while contributing to engineering practices, and continuous improvement initiatives.
• Stay current with emerging capabilities in Palantir Foundry, AIP, and data engineering to drive innovation and enhance business outcomes.

About the Team

The Group Functions & ORM Delivery team is part of the Risk Management InfoTech department at Swiss Re — a global leader in reinsurance, insurance, and risk transfer, helping make the world more resilient. We are a dynamic and collaborative team dedicated to delivering innovative technology solutions that support Operational Risk Management (ORM) across the enterprise. Our team builds and maintains the platforms that underpin operational risk, compliance, and governance capabilities, working at the forefront of data and technology. We partner closely with risk professionals, architects, and business leaders to deliver secure, scalable, and maintainable solutions that enable smarter, faster, and more informed risk decisions at a global scale.

About You

You are a curious, solutions-oriented data professional who takes pride in building reliable, elegant data solutions. You communicate effectively with both technical and non-technical stakeholders, and you bring a collaborative mindset to everything you do. You are comfortable navigating ambiguity, thrive in a fast-paced environment, and are driven by the desire to make a meaningful impact through data.

We are looking for candidates who meet these requirements:

• Hands-on experience with Palantir Foundry, including pipeline development, data modelling, ontologies, datasets, transforms, and platform operations.
• Experience designing and implementing scalable data pipelines, ETL/ELT processes, and data models for structured and unstructured data.
• Strong programming skills in Python for data engineering, workflow automation, and large-scale data processing, with experience using PySpark, Spark, or similar technologies.
• Strong proficiency in SQL for data querying, transformation, and analysis.
• Experience integrating data from enterprise systems, databases, APIs, cloud platforms, and third-party applications.
• Hands-on experience with Palantir AIP, including AI-enabled application development, AIP Logic, AIP Assist, ontology-driven AI actions, agentic workflows, and LLM integrations within the Foundry ecosystem.
• Knowledge of Large Language Models (LLMs), prompt engineering, and AI application development concepts.
• Experience working with cloud platforms such as Azure or AWS, particularly for data storage, processing, and orchestration.
• Understanding of data governance, lineage, security, access controls, and compliance requirements.
• Strong analytical, problem-solving, communication, and stakeholder management skills.

These are additional nice to haves:

• Operational Risk Management (ORM) domain knowledge, including familiarity with risk assessment, monitoring, and reporting processes.
• Experience with Palantir Foundry Workshop, Operational Applications, and other user-facing application development capabilities.
• Experience implementing Retrieval-Augmented Generation (RAG), vector search, AI agents, agentic workflows, or AI orchestration frameworks.
• Experience implementing solutions using enterprise AI platforms such as OpenAI, Anthropic, Azure OpenAI, or similar technologies.
• Experience supporting machine learning, MLOps, model deployment, or advanced analytics initiatives.
• Palantir Foundry and/or AIP certifications.

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.