About this role
Finance Business Support Data Engineer 17-08-2026 4.665 - 6.665 Medior Amsterdam Als Data Engineer! bij BeFrank bouw en verrijk je het dataplatform: ontwikkel schaalbare Python/PySpark datapipelines (Delta Lake/medallion), ontsluit diverse bronnen, ontwerp datamodellen en borg datakwaliteit met geautomatiseerde tests en CI/CD in Azure DevOps. Direct solliciteren Neem contact op Data Engineer! Role purpose: Design, build, and maintain reliable data pipelines and platforms that enable analytics, reporting, and data-driven products. Key responsibilities - Develop and optimize ETL/ELT pipelines for batch and streaming data ingestion. - Model, transform, and validate data for analytics and downstream applications. - Build and maintain data warehouses/lakes, ensuring performance and scalability. - Implement data quality checks, monitoring, alerting, and incident response. - Partner with analysts, data scientists, and engineers to define data requirements and SLAs. - Automate deployments and workflows using CI/CD and orchestration tools. - Document datasets, lineage, and operational runbooks to support governance. Required skills - Programming: SQL and one or more languages (e.g., Python, Java, or Scala). - Data platforms: Warehouses/lakes and distributed processing (e.g., Spark). - Orchestration: Workflow scheduling tools (e.g., Airflow or similar). - Cloud: Experience with major cloud services (AWS, Azure, or GCP). - Data reliability: Testing, observability, performance tuning, and cost optimization. - Collaboration: Clear communication, stakeholder management, and documentation. Success measures - High pipeline uptime, accurate datasets, and timely delivery of trusted data. - Improved query performance, scalable architecture, and reduced operational toil. BeFrank is sinds een paar maanden live met haar Dataplatform. Dit wordt gerund door een klein datateam. Om dat team compleet te maken, zoeken wij een Data engineer. ...