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Data-Warehouse & Reporting Developer


Our client within the European Institutions is currently looking for a Data-Warehouse & Reporting Developer to work on the contribution to the creation, maintenance, and evolution of enterprise data warehouses and reporting solutions supporting business, policy, and management needs. Languages needed SQL ETL Tasks Contribution to the creation, maintenance, and evolution of enterprise data warehouses and reporting solutions supporting DG DEFIS business, policy, and management needs. Support to business intelligence and analytical solutions, including the design and optimisation of dashboards, reports, and analytical datasets. Gathering, analysis, and structuring of business and reporting requirements in close cooperation with business units, data owners, data stewards, and business analysts. Design, implementation, and optimisation of ETL/ELT processes to ensure reliable, timely, and reusable data flows. Data modelling (conceptual, logical, and physical) to support reporting, analytics, interoperability, and data reuse. Contribution to data management and data governance activities, including data structuring, documentation, metadata, and support to data quality monitoring. Support to testing, deployment, configuration, and controlled evolution of data and reporting solutions. Participation in coordination meetings with other project teams, service providers, and corporate services. Interaction with business analysts, users, project stakeholders, and developers to ensure alignment between data solutions and business needs. Requirements B2 level of English minimum. Any level of French is considered an asset. Data warehouse design, development, and maintenance in a reporting and analytics context. SQL for data extraction, transformation, and analysis. Business intelligence and reporting tools, including dashboards, reports, and analytical views. Good knowledge of data warehouse concepts, including the design, development, and maintenance of reporting-oriented data structures. Good knowledge of relational database management systems used in data warehousing and reporting contexts. Good knowledge of SQL for data extraction, transformation, and analysis. Good knowledge of business intelligence and reporting tools, including dashboards, reports, and analytical views. Knowledge of ETL/ELT processes and data integration techniques. Knowledge of data modelling techniques (conceptual, logical, and physical). Understanding of data management and data governance principles, including data documentation, metadata management, and data lifecycle considerations. Understanding of data quality principles, including data validation and monitoring. Experience in large-scale or corporate data environments is considered an asset. Certifications or formal training in data management, data governance, business intelligence are considered an asset and will be taken into account during evaluation. #J-18808-Ljbffr

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