The posting
- You support the design, development, testing, and documentation of ETL/ELT data pipelines that transform operational data into reliable datasets for BI, analytics, machine learning, and AI.
- You contribute to the integration of data from commercial & support fonctions systems such as ERP, CRM, marketingplatformen, HR, and other operational applications.
- You help build data products and semantic models covering topics such as sales performance, marketing effectiveness, financial reporting and HR analytics.
- You perform data quality checks, investigate data issues, and contribute to maintaining accurate documentation, monitoring, and data lineage.
- You learn and apply modern data engineering practices, including version control, testing, CI/CD, and DataOps.
- You work in an agile environment alongside data analysts, data scientists, IT colleagues, and business stakeholders, gradually developing into a well-rounded data professional.
You report directly to the Data & Analytics Platform Architect.
- You hold a Master's degree in IT, Data, Engineering, or a related field.
- You have gained relevant experience through internships, academic projects, or an initial professional experience.
- You have a solid foundation in SQL and Python and are eager to further develop your expertise in modern cloud data platforms such as Azure and Databricks.
- You are interested in data modelling, ETL/ELT processes, data warehousing, lakehouse architectures, testing, and documentation. Experience with dbt or similar frameworks is considered a plus.
- You are analytical, detail-oriented, and eager to learn. You enjoy understanding how business processes work and how high-quality data supports better decision-making.
- You are comfortable using AI tools to work more efficiently, accelerate learning, and support innovative solutions.
- You communicate fluently in English and enjoy collaborating with both technical teams and business stakeholders. Knowledge of Dutch a plus.



