Data Engineering Manager

Akkodis is seeking an experienced Data Engineer Manager who can help build a modern data platform to support analytics and the use of AI and Machine Learning. The role involves designing and maintaining data solutions, building reliable data pipelines, and collaborating with business stakeholders to drive measurable outcomes.

Responsibilities:

• Design, build, and maintain full-stack solutions in Palantir Foundry, including data pipelines, back-end logic, and front-end user interfaces
• Develop robust and reusable components within Foundry’s Ontology framework to support data-driven and AI-enabled applications
• Build, test, and deploy scalable code using Palantir tools such as Code Workbooks, Object Types, Action Builders, and AIP integrations
• Contribute to the design and delivery of multiple Generative AI–enabled applications, leveraging Palantir Foundry and the Ontology to support intelligent decision-making across the enterprise
• Work closely with key executive business stakeholders, the Data Strategy team, and the Foundational Data Management team to design and execute Palantir-enabled solutions that drive measurable business outcomes
• Partner directly with Palantir engineers to ensure best practices, scalability, and alignment with enterprise platform standards
• Maintain and iterate on existing Palantir applications, ensuring reliability, performance, and scalability over time
• Contributions to AI/ML projects beyond feature engineering (model evaluation, problem decomposition, etc.)
• Ability to translate business needs into technical solutions and communicate effectively with both technical and non-technical audiences
• Demonstrated ability to deliver in collaborative, fast-paced environments with multiple concurrent initiatives

Requirements:

• Experience in building modern data platforms to support analytics and AI/ML
• Ability to design, build, and maintain full-stack solutions in Palantir Foundry
• Experience developing robust and reusable components within Foundry's Ontology framework
• Ability to build, test, and deploy scalable code using Palantir tools such as Code Workbooks, Object Types, Action Builders, and AIP integrations
• Experience contributing to the design and delivery of Generative AI-enabled applications
• Ability to work closely with executive business stakeholders and data teams to design and execute Palantir-enabled solutions
• Experience partnering with Palantir engineers to ensure best practices and scalability
• Ability to maintain and iterate on existing Palantir applications for reliability and performance
• Experience contributing to AI/ML projects beyond feature engineering
• Ability to translate business needs into technical solutions
• Effective communication skills with both technical and non-technical audiences
• Demonstrated ability to deliver in collaborative, fast-paced environments with multiple concurrent initiatives