Join Capgemini Invent as a Palantir Data Engineer and drive cutting-edge transformation solutions informed by science and data. As inventive transformation consultants, we blend strategic, creative, and scientific capabilities to deliver impactful solutions tailored to client challenges.

Our mission is to help organizations accelerate their digital and sustainable transitions, creating tangible value. We offer a collaborative environment supported by technology created with purpose, where your creativity and expertise can flourish.

We are a responsible and diverse global business with over 340,000 team members across more than 50 countries. With over 55 years of heritage, Capgemini is trusted to unlock technology's potential, delivering end-to-end services from strategy and design to engineering, powered by leading capabilities in AI, generative AI, cloud, and data.

Design, build, and maintain optimal data pipeline architectures within Foundry. Identify and implement improvements to internal Foundry processes. Manage Palantir job scheduling, monitor data pipeline health, and configure alerts for data expectations.

Responsible for the architecture and solution design of Cloud Data Analytics Platforms, Data Engineering, Analytics, and Reporting. Develop viable architectures using Palantir, Microsoft Azure, AWS, Snowflake, Google Cloud Platform, or similar technologies, and implement analytics solutions.

Provide essential data services for enterprise information strategy solutions. Collaborate with business leaders and teams to gather information requirements and translate them into effective data-centric solutions. Design and develop modern enterprise data solutions including Palantir, Data Warehouses, Data Lakes, and Data Lakehouses. Responsible for designing robust data governance solutions.

A minimum of 4 years of experience in Palantir Data Engineering is essential. Proven experience in DevOps, Infrastructure as Code, DataOps, and MLOps is required.

Proficiency in data warehousing, data modeling, and data integration for enterprise data environments. Extensive experience with ETL tools such as Talend or other data integrator tools, both open-source and proprietary. Strong command of SQL and SQL scripting, including PL/SQL and query tuning/optimization for relational databases (PostgreSQL, Oracle, Microsoft SQL Server, MySQL) and NoSQL databases (MongoDB).

Experience with programming languages including Python, Pyspark, JavaScript, Java, and Scala. Good understanding and practical knowledge of Foundry tools such as Ontology, Contour, Object Explorer, Ontology Manager, Object Editor (with Actions/TypeScript), Code Workbooks, Code Repositories, and Foundry ML.