We are urgently looking for a Senior Data Warehouse Reporting Developer, who will join an EU Institution in Brussels (50% onsite).
Knowledge
• 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.
Skills
• Ability to analyse, structure, and formalise business and reporting requirements.
• Ability to work autonomously on assigned tasks while reporting progress, risks, and issues in a structured and timely manner.
• Ability to work with a high degree of rigour and method, including compliance with documentation standards, naming conventions, and governance rules.
• Strong analytical and problem-solving skills, with attention to data consistency and reliability.
• Ability to communicate clearly and cooperate effectively with business analysts, data owners, data stewards, project stakeholders, and service providers.
• Ability to operate effectively in an international and multicultural environment.
• Ability to participate actively in multilingual meetings.
• Very good command of English, both oral and written.
• High degree of discretion and integrity, given the sensitive nature of the data handled.
Specific expertise
• 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.