Business Intelligence Expert - Major EU Institution in Brussels

Joining KEYES means giving purpose to your talent.

Are you looking for an environment where technology is not an end in itself, but a lever to build a sustainable future? At KEYES, we are not just looking for technical expertise; we are looking for people who share our values.

Do you want to continue your career and grow within one of Belgium’s leading IT companies?

Join KEYES as a Business Intelligence Expert!

KEYES is a dynamic global organization that takes pride in being the trusted partner of EU Institutions. With strong commitment to excellence and a 30-years track record of delivering high-quality solutions, we are dedicated to supporting the growth and success of our clients. Our Mission is to help our clients keep up with the challenges of digital transformation by providing the right talent at the right time for the right job. To this end, we are constantly looking for talented professionals who are interested in working on challenging international projects and able to deliver high-quality results within multicultural environments. Our services include (but are not limited to) Modernization of Solutions, Digital Workspaces, Infrastructure & Cloud Solutions, Cybersecurity Solutions, Business Software Solutions, Mainframe Solutions, Data & AI Solutions, Advisory Solutions, and Staffing Solutions. Our Headquarters are in Brussels and we have active accounts and offices across Europe (i.e. Luxembourg, Athens, Brussels, etc.)

More information: www.keyes.eu

THE BACKGROUND

For our client, a European Institution based in Brussels, we are looking for an experienced Senior Business Intelligence Expert to join a long-term mission in a major EU Institution, For the needs of the client, you need be based in the area of Brussels (~2 hours by ground transportation) to work hybrid (in-office 2-3 times a week).

More specifically, you will be responsible for…

• Creation and maintenance of Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / DataLakehouses);

• Designing architectures both on the cloud and on premises (whether hosting or cloud on-premises) or combination of both (hybrid);

• Gathering business requirements;

• Designing ET L processes;

• Data analysis and data modelling;

• Data virtualization;

• Physical DB design and performance analysis;

• Design of Data Quality and Health Monitoring processes;

• Elaboration of test programs

• Writing of technical documentation;

• Assistance with deployment and configuration of the system;

• Provision of security studies, security assessments or other security matters associated with information system projects;

• Participation in meetings with other project teams.D1

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Are you the perfect match?

• Possession of a master’s degree.

• C1 level English, C1 level French is an advantage;

• Excellent knowledge of data warehouse design & architecture.

• Good knowledge of data lake/data lakehouse design and architecture.

• Excellent knowledge of relational database systems applied to data warehouse.

• Very good knowledge of cloud-based business intelligence technologies.

• Knowledge of non-relational database technologies.

• Strong expertise in data warehouse and big data (structure and unstructured data).

• Strong expertise with Object Oriented programming, and/or Python would be an asset.

• Expertise with migration of data infrastructure to cloud (AWS, Azure) would be an asset.

• Excellent knowledge of SQL.

• Excellent knowledge of business intelligence reporting tools.

• Excellent knowledge of ETL tools.

• Excellent knowledge of modelling tools.

• Excellent knowledge of online analytical data processing (OLAP) and data mining tools.

• Ability to work efficiently and fast within an environment using SAS DI, SAP BO, Oracle, PL/SQL, QlikSense, Sinequa, JavaScript, Angular, PHP, Python, Business Objects Universe and Reports, Coldfusion.

• Very good knowledge of cloud solutions for datawarehouse, datalakes and business intelligence solutions.

  Possession of the following certificates would be an advantage:

• Microsoft Data Analyst Associate.

• Microsoft Azure Data Engineer Associate.

• Amazon Certified Data Analytics Speciality.