Senior Data Engineering Consultant (German-speaking)

Machine Learning Architects Basel (MLAB) specializes in helping organizations design, build, and operate reliable data and machine learning solutions. The company focuses on enabling customers to operationalize, scale, and continuously deliver data and AI products beyond initial pilot and prototype stages. This involves implementing effective solution patterns that consider the latest technologies, roles, skills, and process adjustments. The Senior Data Engineering Consultant will be involved in the entire lifecycle of projects, both internally and externally. Key responsibilities include consulting, engineering, and training, where the role involves understanding and delivering impactful services related to data, software, and AI engineering. The consultant will analyze customer requirements, identify best-fit solutions, and implement data pipelines and platforms. Additionally, the role involves contributing to solution blueprints and concepts, such as reliable data products and efficient data meshes, and acting as a thought leader in the field of data platforms, data products, and DataOps. To excel in this role, candidates must have at least five years of professional experience as a Data or Software Engineer with a focus on data and ML systems. Familiarity with major data and AI platforms, such as Snowflake, Databricks, AWS, Azure, and MS Fabric, is essential, with certification being a plus. Experience with data analytics and DataOps best practices, as well as topics like Data Mesh, Data Lake/Warehouses, and Reliability Engineering, is required. Technical, hands-on experience with programming languages, distributed systems, SQL and NoSQL databases, cloud services, REST API, microservices, Docker, Kubernetes, and Agile development methods is also necessary. Nice-to-have skills include experience working in a client-facing or consulting role. The role is based in Basel, Switzerland, and requires fluency in German and English. The company offers a hybrid working model with flexibility, a dynamic and passionate team, and the opportunity to work on cutting-edge data, AI, and analytics topics. The environment is both performance-oriented and customer-driven, with a team-oriented, friendly, and supportive culture. Was die Stelle verlangt: - Mindestens fünf Jahre Berufserfahrung als Data oder Software Engineer mit Fokus auf Daten- und ML-Systemen. - Erfahrung mit und idealerweise zertifiziert in großen Daten- und AI-Plattformen (z.B. Snowflake, Databricks, AWS, Azure, MS Fabric). - Kenntnisse in Datenanalyse und DataOps-Best Practices sowie Themen wie Data Mesh, Data Lake/Warehouses und Zuverlässigkeitsingenieurwesen. - Technische, praktische Erfahrung mit mindestens einigen der folgenden: Programmiersprachen, verteilte Systeme (Hadoop, Spark) und Datenstrukturen, SQL- und NoSQL-Datenbanken, Cloud-Dienste, REST-API und Microservices, Docker und Kenntnisse von Kubernetes, agile Entwicklungsmethoden und CI/CD. - Fließend in Deutsch und Englisch (schriftlich und mündlich). - Schweizer Pass oder gültige EU/EFTA Arbeitserlaubnis.