Interim Data Engineer

Job description

Interim | Hybrid (Rotterdam, 2 days per week on-site) | 36 hours per week | 6 months, with extension options up to 2 years Our client, a major Dutch public transport organisation, is moving its central data and analytics platform from Azure Synapse to Microsoft Fabric. The platform runs on a lakehouse architecture with a medallion structure and Delta Lake, and feeds data products for asset management, HR and finance. You join the Data Office to deliver that migration and drive the next stage of the platform roadmap. You work alongside the platform's data engineers, the lead data platform engineer, a solution architect, data analysts and data stewards. You own one or more roadmap items end to end, set the standard for engineering quality, and coach a team that is still building its experience on the platform. Start date is as soon as possible and no later than 2 November 2026. About Riverflex Riverflex was founded in Amsterdam and London in 2018, eventually growing into a global team of consultants united by a mission to help courageous leaders drive transformative change. Today, we offer an integrated service through three service pillars: strategy and transformation consulting that Creates Change, talent services that Build Teams, and business-accelerating products that Augment Intelligence. For more information, visit www.riverflex.com . Responsibilities Platform and migration • You migrate the platform from Synapse to Microsoft Fabric, converting existing pipelines, notebooks and data models in line with the intermediate and target state architecture. • You own one or more roadmap priorities, from performance and cost optimisation to data quality and monitoring. • You build and maintain scalable pipelines and PySpark notebooks across the bronze, silver and gold layers, using a metadata-driven approach. Data products and modelling • You design and build dimensional data models, and ingest structured and unstructured data from complex source landscapes. • You structure and manage the SQL data warehouse on Azure SQL Database and Fabric Database. • You translate requirements from data analysts and business stakeholders into technical specifications. Quality and engineering standards • You implement the data quality framework, checks and cleansing processes across ETL/ELT flows. • You run CI/CD pipelines in Azure DevOps for automated build, test and deploymen…