Associate Database Engineer

pLocation: Basel, BS, CH, 4030 /p pFlexible Work Arrangement: Onsite /p pJob Category: IT /p pCareer Level: Graduate / Entry Level /p pRequisition Id: 6722 /p h3Position Summary /h3 pAre you passionate about data, technology, and artificial intelligence? Join Jet Aviation as an Associate Data Engineer and help turn complex data into meaningful insights and innovative solutions. /p pWorking with Microsoft Azure and Microsoft Fabric, you will contribute to data engineering, analytics, machine learning, and enterprise ontology initiatives. This is an exciting opportunity to grow your technical skills, collaborate with experienced specialists, and support data-driven decision-making across our global business. /p h3Your Role /h3 ul liDevelop and optimize data pipelines and data products using Microsoft Azure, Microsoft Fabric, Azure Data Factory, Lakehouse, and OneLake. /li liIntegrate, transform, and validate data from multiple sources for reporting, analytics, machine learning, and AI applications. /li liSupport the design of scalable data models and reusable analytical datasets. /li liImprove data quality, documentation, metadata, and governance to ensure reliable, secure, and AI-ready data. /li liContribute to machine learning solutions, including data preparation, feature engineering, testing, and model evaluation. /li liSupport the development of enterprise ontologies by mapping business concepts, relationships, and data sources. /li liCollaborate with technical teams and business stakeholders to translate requirements into practical data solutions. /li liMonitor, troubleshoot, and optimize data pipelines, notebooks, and analytical workloads. /li liHelp implement responsible data and AI solutions, considering privacy, security, and transparency. /li liDocument solutions, communicate findings, and contribute to data and AI projects and ongoing improvements. /li /ul h3What We Offer You /h3 ul liAn exciting and challenging senior role in a dynamic aviation environment /li liVarious opportunities for professional and personal development /li liChance to work on exciting, high-profile projects /li liA motivated and cheerful team that looks forward to working with you /li liOur events are great! We also have lots of fun together outside of working hours /li /ul h3Your Profile /h3 ul liA bachelor’s degree in Data Science, Computer Science, IT, Statistics, Mathematics, Engineering, or a related field. /li liInitial experience through internships, academic projects, or professional roles in data engineering, analytics, data science, or software development. /li liFoundational knowledge of data integration, ETL/ELT, data modeling, data quality, and cloud platforms. /li liPractical SQL skills and familiarity with Python or another programming language. /li liFamiliarity with Microsoft Azure and/or Fabric; experience with Azure Data Factory, Lakehouse, OneLake, Azure Storage, or Synapse Analytics is an advantage. /li liBasic knowledge of machine learning, relational databases, and structured or semi-structured data. /li liInterest in data integration via APIs and token authentication, data transformation via python code, data modeling and data governance. /li liInterest in ontologies, data governance including metadata management, data catalog, knowledge graphs /li liStrong analytical, problem-solving, communication, and collaboration skills. /li liA customer-focused mindset and commitment to delivering high-quality solutions. /li liFlexibility to collaborate with global teams across time zones. /li liFluency in written and spoken English. /li /ul #J-18808-Ljbffr