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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 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. 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. 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. 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. 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. 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. 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.