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Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.\n Design and maintain scalable data solutions that support AI applications and advanced analytics.\nBuild and optimize semantic data models, ensuring high-quality, trusted metrics for business and AI consumption.\nDevelop integrations between data platforms, semantic layers, and AI-powered solutions.\nCollaborate with cross-functional teams to translate business needs into reliable data products.\nIdentify opportunities to improve data quality, governance, and semantic consistency across the platform.\nApply causal inference and advanced analytical techniques to generate meaningful business insights.\nSupport AI initiatives through LLM integration, prompt engineering, and Retrieval-Augmented Generation (RAG).\nProvide technical leadership through mentoring, code reviews, architectural guidance, and engineering best practices.\nPartner with Data Engineers, Analytics Engineers, Product Managers, and AI teams to deliver scalable solutions.\nDrive innovation by promoting modern data engineering, AI, and analytics best practices across the organization.\n Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field.\n5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles.\nStrong hands-on experience with modern data platforms, including Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Apps) and Google Cloud Platform services such as BigQuery, Cloud Run, Pub/Sub, and Vertex AI.\nSolid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic.\nExperience building and leveraging semantic layers and metric definitions to support advanced analytics, SQL workloads, and AI-powered applications.\nStrong understanding of causal inference techniques, including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and modern Causal ML frameworks.\nExperience working with Generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG), and evaluating LLM outputs.\nGood understanding of data governance, identity and access management (IAM), and secure data architecture principles.\nProven ability to lead technical initiatives, mentor engineering teams, and influence architectural decisions across multiple stakeholders.\nExcellent communication, problem-solving, and collaboration skills, with the ability to explain complex technical concepts to both technical and business audiences.\n The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. 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