Graduation Data Scientist

Assignment type : Graduation (internship is possible, only if you are persuing a master) Start date : February 2027 Assignmentduration : 6 months Location : Veghel Educationlevel : Bachelor / Master

Our team writes most of the code in Python (and occasionally SQL). Experience with these languages is a hard requirement. Furthermore, knowledge on the following will help you, but is not required:

• Databricks (Lakehouse and Lakebase).
• DevOps tooling like test automation and CI/CD.
• Azure tooling such as Azure Functions and Azure Service Busses

Graduation Data Scientist: Ontwikkel een Latency Impact Framework voor de data layer door architectonische veranderingen te onderzoeken en hun effect op dataverwerking te kwantificeren. Bouw een voorspellend model dat de ‘latency kosten’ van nieuwe functionaliteiten in kaart brengt voordat ze worden geïmplementeerd. Deze afstudeeropdracht biedt de kans om direct bij te dragen aan de prestaties en schaalbaarheid van Vanderlande’s kern data-infrastructuur in een agile DevOps-team in Veghel. Functiebeschrijving Job Title Graduation: Building a latency impact framework for the data layer Job Description Assignment type : Graduation (internship is possible, only if you are persuing a master) Start date : February 2027 Assignmentduration : 6 months Location : Veghel Educationlevel : Bachelor / Master Desiredstudy : Data engineering, data science, software engineering, computer science, business IT & management Language : Dutch / English Description of assignment Within Vanderlande, we are currently building a new backbone for applications to reliably communicate its data with one another. It establishes common standards for how messages are structured, exchanged, understood, and versioned. Whilst reliability is imperative, we also must satisfy certain latency demands. As this new layer (the Data Layer) is being built, we increasingly want to add more features and functionalities to it. This would expectedly impact the latency of the messages flowing through the Data Layer. Currently, we don’t have any insights in the latency impacts of these updates. The goal of this assignment is to first research what changes impact our latency, and by how much. Then, to set up a framework that essentially shows the (latency) costs of a new feature before implementing it. Scope increases/decreases may naturally be discussed. Department description The Central Data & Analytics department provides Data Analytics products and services (incl. governance) to the entire Vanderlande Organization (mainly internal customers). It is a federated organization, meaning that we centrally set a standard, which is adopted and implemented by decentralized franchises within the business. Next to the analytic platform, we have been building an abstraction layer for transactional data. This data layer will form the backbone of all inter-application communication within Vanderlande. Tasks/responsibilities

• Join one of our DevOps teams and actively participate in all standard Scrum events
• Contribute to the development and enhancement of the new Data Layer technology
• Demonstrate a proactive and entrepreneurial mindset within the team’s daily operations
• Execute your assignment in close alignment and collaboration with the team’s ongoing work
• Share insights and findings to provide valuable input on adjacent topics within the Data Layer Team

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