(Senior) Software Engineer (All Genders) - Merck

OverviewIn this Analytics Architect role, you design and deliver scalable data and AI solutions to power smarter work practices across the organization.You’ll join a cross-border team delivering analytics and data products within a product-oriented delivery model.You’ll own data platforms, promote governance and security, and translate business needs into technical solutions.The role spans diverse AI use cases, including automation and procurement intelligence, contributing to a global, innovative data culture.ResponsabilidadesDesign, build, and maintain scalable data pipelines and platform componentsDevelop interfaces that replace manual processes with intuitive experiencesOwn data platforms with focus on governance, security, and full lifecycle complianceCollaborate with delivery pod stakeholders to shape technical directionShape future data engineering within Enabling Functions leveraging Snowflake, AWS, and Palantir FoundryContribute to a Spain-based hub and high-visibility AI use cases across organizationRequisitos principales4-8 years of software engineering experience in enterprise environmentsProficiency in Python and SparkExperience with CI/CD, version control, and automated testingHands-on with Palantir Foundry, Snowflake, and PySparkUnderstanding of data pipeline architecture, data governance, privacy, and security in enterprisesStrong communication of technical concepts to non-technical stakeholdersUniversity degree or equivalent in a technical fieldWillingness to work in a distributed international team and travel in EuropeFamiliarity with AI workflows, MLOps, AI safety, or CI/CD for AI is a plusstrong communicationcollaborationproblem-solvingPythonSparkCI/CD

Requisitos principales4-8 years of software engineering experience in enterprise environments Proficiency in Python and Spark Experience with CI/CD, version control, and automated testing Hands-on with Palantir Foundry, Snowflake, and PySpark Understanding of data pipeline architecture, data governance, privacy, and security in enterprises Strong communication of technical concepts to non-technical stakeholders University degree or equivalent in a technical field Willingness to work in a distributed international team and travel in Europe Familiarity with AI workflows, MLOps, AI safety, or CI/CD for AI is a plus strong communication collaboration problem-solving Python Spark CI/CD