Associate Database Engineer

Position Summary

Are 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. Working 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.

Your Role

Develop and optimize data pipelines and data products using Microsoft Azure, Microsoft Fabric, Azure Data Factory, Lakehouse, and One. Lake. Integrate, transform, and validate data from multiple sources for reporting, analytics, machine learning, and AI applications. Support the design of scalable data models and reusable analytical datasets.

Improve data quality, documentation, metadata, and governance to ensure reliable, secure, and AI-ready data. Contribute to machine learning solutions, including data preparation, feature engineering, testing, and model evaluation. Support the development of enterprise ontologies by mapping business concepts, relationships, and data sources.

Collaborate with technical teams and business stakeholders to translate requirements into practical data solutions. Monitor, troubleshoot, and optimize data pipelines, notebooks, and analytical workloads. Help implement responsible data and AI solutions, considering privacy, security, and transparency. Document solutions, communicate findings, and contribute to data and AI projects and ongoing improvements.

What we offer

you An exciting and challenging senior role in a dynamic aviation environment Various opportunities for professional and personal development Chance to work on exciting, high-profile projects A motivated and cheerful team that looks forward to working with you Our events are great! We also have lots of fun together outside of working hours Your Profile A bachelor’s degree in Data Science, Computer Science, IT, Statistics, Mathematics, Engineering, or a related field.

Initial experience through internships, academic projects, or professional roles in data engineering, analytics, data science, or software development. Foundational knowledge of data integration, ETL/ELT, data modeling, data quality, and cloud platforms. Practical SQL skills and familiarity with Python or another programming language.

Familiarity with Microsoft Azure and/or Fabric; experience with Azure Data Factory, Lakehouse, One. Lake, Azure Storage, or Synapse Analytics is an advantage. Basic knowledge of machine learning, relational databases, and structured or semi-structured data. Interest in data integration via APIs and token authentication, data transformation via python code, data modeling and data governance.

Interest in ontologies, data governance including metadata management, data catalog, knowledge graphs Strong analytical, problem-solving, communication, and collaboration skills. A customer-focused mindset and commitment to delivering high-quality solutions. Flexibility to collaborate with global teams across time zones.

Fluency in written and spoken English.