Traineeships

Looking for a hands-on learning experience in the exciting field of data visualization and analytics? Look no further! Our Qlik Sense Traineeship offers you the opportunity to gain real-world experience working with cutting-edge technology and impactful data projects.

You will assist in the creation of preconfigured solutions in the domain of Financial Reporting. These so called starter kits or acceleration kits allow for a client to benefit from pre-built financial reporting intelligence such as business rules, data entry templates, reports and workflow.

In today's world of data & TAX transparency, new software solutions are being developed to support the EU in its role as frontrunner worldwide. We want to compare different solutions in the market to respond to the challenges within different applications in tax reporting.

Want to be part of defining and refining strategies in SEO, SEA, Content Marketing & Digital Marketing -based on over 10 years of historical data & investments- and this in a thought-leading consulting company in Analytics?

Customer Data Platform (CDP) is a system that collects and organizes customer data across multiple touchpoints and is utilized by marketing teams to gain a comprehensive view of customer behavior. It is data coming from various sources like web activity, mobile apps, and customer interactions across platforms, which is then harmonized and made actionable for personalized marketing strategies. With the integration of Snowplow on Databricks Lakehouse, we are setting the stage for a cutting-edge approach to managing and activating customer data at scale.

As we continue to expand our suite of AI applications, the importance of intuitive, user-friendly front-ends cannot be overstated. These interfaces are crucial for enabling users to interact seamlessly with our advanced AI technologies. We are seeking a front-end development intern to spearhead the creation of several reusable front-end systems. Your work will involve leveraging modern frameworks such as Vue.js, React.js, or Node.js to build scalable, responsive, and visually appealing user interfaces that enhance the user experience of our AI applications.

In this traineeship, you'll participate in building an internal end-to-end demo set-up. You'll work on different aspects such as the hardware but also the cloud, analytics & data engineering: connecting with the data and transforming it into insights & alerts in the Azure Cloud & Databricks platform.

Large Language Models (LLMs) represent the forefront of AI research and development, enabling unprecedented opportunities for innovation across numerous domains. As AI continues to evolve, so does the landscape of possibilities, especially in the realms of agent-based interactions, multi-model chains, self-inquiring systems, and the integration of multimedia into expansive knowledge bases. This internship is designed to explore these cutting-edge areas, pushing the boundaries of what LLMs can achieve.

In the dynamic world of data engineering and analytics, the ability to efficiently process and manage data is paramount. With the advent of tools like DBT (Data Build Tool) and Delta Live Tables, data professionals have powerful options at their disposal to streamline data transformation workflows in the cloud. However, choosing the right tool for specific data engineering tasks remains a challenge. This internship focuses on a hands-on comparison of DBT versus Delta Live Tables in practical scenarios.