Data Engineer

Role overview Take ownership of a data warehouse and business intelligence environment, building the data foundations used for internal operations and customer analytics. The work spans the flow from queued data through transformation and analysis, with a focus on dependable information that supports decisions such as customer capacity planning and internal billing.

Responsibilities - Manage the data warehouse end to end, including data queues, transformation and analysis. - Develop and extend data transformation models using dbt and SQL. - Create dashboards in Superset and Power BI for internal teams and external customers. - Deliver analytics for use cases such as capacity planning and automated billing. - Maintain data quality so reports and metrics are accurate. - Work with teams across the organization to turn their questions into useful data solutions.

Requirements - 3–6 years of data engineering experience and a bachelor’s or master’s degree in IT or a related field. - Knowledge of data warehousing, pipelines, queuing systems and business intelligence. - Practical experience with dbt, SQL, Git and Docker. - Previous responsibility for managing data solutions. - Careful, accuracy-focused approach and ability to work independently while collaborating across teams. - Fluency in English and Dutch.

Nice to have Experience with Kafka, Flink, StarRocks, Azure, Java or data mesh.

Benefits and work setup Hybrid work from an office in Ghent. The stated package includes a gross monthly salary range of €3,250–€5,600, a company car or mobility budget, 32 days of annual leave, a laptop and a smartphone. Payroll and freelance arrangements are both considered.