Associate Database Engineer

Jet Aviation; Basel; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

Jet Aviation in Basel, Switzerland is seeking an Associate Data Engineer to turn complex data into insights and innovative solutions. You will work with Microsoft Azure and Fabric to contribute to data engineering, analytics, ML, and enterprise ontology initiatives.

This role offers growth through collaboration with experienced specialists and global data-driven decision support. You will develop and optimize data pipelines, integrate data from multiple sources, and support scalable data models

Qualifikationen

• Bachelor's degree in data science or related field.
• Internships or projects showing data engineering experience.
• Foundational knowledge of ETL/ELT and data quality.
• SQL and Python proficiency.
• Familiarity with Azure and/or Fabric; experience with Azure Data Factory, Lakehouse, OneLake is a plus.
• Basic knowledge of ML, relational databases, and structured or semi-structured data.
• Interest in data governance, metadata management, and knowledge graphs.

Aufgaben

• Develop and optimize data pipelines and data products using Azure, Fabric, Data Factory, Lakehouse, and OneLake.
• Integrate, transform, and validate data from multiple sources for reporting, analytics, ML, and AI apps.
• Support scalable data models and reusable analytical datasets.
• Improve data quality, documentation, metadata, and governance for reliable AI-ready data.
• Contribute to ML solutions, including data prep, feature engineering, testing, and evaluation.
• Help map business concepts and data sources to enterprise ontologies.

Kenntnisse

Data engineering

ETL/ELT

Data modeling

SQL

Python

Azure

Ausbildung

Bachelor's degree in Data Science

Tools

Azure

Fabric

Azure Data Factory

Lakehouse

OneLake

Azure Storage

Synapse Analytics

Jobbeschreibung

Location: Basel, BS, CH, 4030

Flexible Work Arrangement: Onsite

Job Category: IT

Career Level: Graduate / Entry Level

Requisition Id: 6722

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 OneLake.
• 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, OneLake, 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.