Job
In this role, you define requirements with clients and implement modern data pipelines, develop custom solutions, and support data-driven decisions for complex logistics projects.
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Job technologies
- Azure
- Google Cloud Platform
- AWS
- Knime
- Azure Synapse
- Apache Spark
- Snowflake
- AWS Lake Formation
Your role in the team
- Together with the client, you define the needs that are relevant for the data projects.
- You specify the technical aspects and implement data pipelines using modern technologies (Azure Cloud, Google Cloud, AWS, KNIME, etc.).
- You develop customized solutions with intelligent algorithms for large datasets, from building the architecture to visualizing the results in meaningful dashboards.
- You design and implement simulation and what-if models to evaluate and support complex supply chain and logistics decisions based on data.
- You are part of a mixed team (Log-hub & client) and act as a liaison and translator between the business unit, IT, and solution development.
- You enjoy immersing yourself in tactical and strategic Supply Chain & Logistics challenges — customized demand forecasting, automated route optimization, network design analyses, changing production sites based on the BOM, etc.
Our expectations of you
Education
- Completed degree (Computer Science, Business Informatics, Industrial Engineering, Mathematics, Physics, or similar) with a passion for quickly familiarizing oneself with new topics.
Qualifications
- Passion for innovative technologies, methods, and topics such as Data Engineering, Analytics, Machine Learning, AI, Big Data, Simulations, Cloud Platforms, as well as Agile working methods (e.g., Scrum).
- Team player with strong communication skills who shares his expertise.
- Professional demeanor and fluent German and English skills.
Experience
- Initial experience in Data Engineering/Analytics, e.g., through an internship or trainee program.
- Initial experience with data technologies is advantageous, e.g., Microsoft Azure Synapse/Fabric, Databricks/Spark, Snowflake, Google BigLake, AWS Lake Formation, etc.
What we offer
- Development + Perspective: Individual training and development opportunities based on your career aspirations, as well as the possibility to quickly take on responsibility.
- 60-80% remote work with the work location in southern Germany or the German-speaking part of Switzerland, with flexible working hours.
- BYOD allowance for customizing your workspace according to your individual needs.
- Guaranteed variety: Different clients, topics, methods, and technologies — as a Data & Analytics Engineer, you won't get bored with us.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
LOG-HUB AG, based in Feusisberg, Switzerland, specializes in logistics services. It offers innovative software solutions and consulting in the field of supply chain management.
- Established Company
- Onsite, Hybrid
- Logistics, Transportation
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