About this role
Responsibilities Explore and validate new data and AI technologies through short-cycle feasibility projects. Design and implement scalable ETL processes and data pipelines. Integrate diverse data sources such as databases and APIs into the central analytics platform. Collaborate in multidisciplinary teams to test hypotheses and demonstrate technical potential. Maintain data consistency, quality, and reliability across the entire pipeline lifecycle. Implement Infrastructure as Code ( IaC ) to support and manage data environments. Requirements 3+ years of experience as a data engineer. You have experience with Python , Java , or Scala for developing datastreams and ETL processes. You possess hands-on experience with Databricks , Spark , and PySpark for processing large datasets. You bring experience with data lake solutions such as Azure Data Lake or Delta Lake . You have experience using DBT for data transformation and modeling. You possess experience with Terraform or Pulumi for IaC . You have experience connecting data sources via REST APIs and various database systems. You're proactive and solution-oriented in a fail-fast environment. You are fluent in Dutch with a C2 level. Nice to Haves Familiarity with governmental data standards.