Business Intelligence Expert

Our client, in partnership with internal services and external stakeholders, delivers high‐quality corporate information systems supporting research and innovation activities. These solutions contribute to the effective implementation of digital transformation initiatives and related policy objectives. We are seeking a Business Intelligence Expert, with strong expertise in Data Architecture, Data Governance and Business Intelligence technologies, to support the development of and operation of large-scale platforms. Technical Environment: The current systems are based primarily on the following technologies: Search engine: ElasticSearch Data Extraction, Transformation and Load (ETL): SAS Data Integrator, SAP Data Services, Python, PL/SQL scripts Reporting and dissemination: Python, Angular, Java, Qlik Sense, SAP Business Objects Contract type: Freelancer agreement, with an initial contract duration of 9 months. Workplace type: The role is primarily remote, with the requirement to be based near Brussels, Belgium and available to reach the premises within two (2) hours when necessary. What you will do: Develop and update a data architecture strategy that adapts to evolving needs and accommodates both Business Intelligence and AI workloads. Design and implement architectures for the cloud that are vendor agnostic. Design a modern scalable data platform to replace a large legacy data system in a phased approach. Align architectural decisions with data governance policies and the department's vision on cloudification. Establish and enforce data management policies and processes, including data quality, security and platform health monitoring. Ensure regulatory compliance and adherence to audit requirements. Provide guidance and mentorship to data analysts and data engineers. Facilitate change management by guiding colleagues and users through the migration process. Document and maintain data architecture and data assets in detail. Assistance with deployment, configuration and testing of the system. Participation in meetings with other project teams. What you need to be a great match: Master's degree combined with at least 8 years of relevant experience Experience in migrating legacy data systems (SAP DataServices, SAS Data Integration) to a modern cloud-based, open-source data platform solution, preferably Data Lakehouse. Excellent knowledge of designing scalable, flexible modern cloud-based and open-sources data architectures. Experience with AI-powered assistants like Amazon Q for innovative data solutions design. Strong understanding of Kubernetes. Knowledge of database systems, both relational (PostgreSQL, Oracle) and non-relational (Elasticsearch, MongoDB). Experience with ETL/ELT processes and related data ingestion and transformation tools (like Spark, dbt, Trino). Proficiency in data pipeline orchestration tools (like Airflow, Dagster, Luigi). Knowledge of data governance frameworks and tools (like DataHub, Open Metadata), data quality management, data security, access control and regulatory compliance. Proficiency with system-to-system integration via RESTful APIs. Experience with DevSecOps practices and tools related to data pipelines, including CI/CD for data infrastructure. Excellent communication skills to articulate data architecture concepts to technical and non-technical stakeholders. Good knowledge of modelling tools. In addition to technical expertise, the role requires strong non‐technical skills to operate effectively within a large, diverse, and international organizational environment: Ability to participate in multilingual meetings. Ability to understand, speak and write in English (Advanced level - C1 in the CEFR grid), other EU languages will be an advantage. Experience in working in team, good leadership and conciliation skills. Ability to work with a high degree of rigour and method and, more specifically, to follow naming conventions and coding standards. Ability to work in multi-cultural environment, on a large project. Ability to write clear and structural technical documentation. Very good communication skills with technical and non-technical audiences High degree of discretion and integrity in handling sensitive personal and confidential data. Only candidates who are nationals of one of the 27 Member States of the European Union are eligible to apply. Sounds exciting and want to know more? Apply directly or contact Keana Perez (Technical Recruiter) Email: keana.perez@unisys.com