Business Intelligence Expert - Brussels - Near site (EMPL)

SEIDOR
Brussels
4 weken geleden

We are on the lookout for an Business Intelligence Expert (BIE) to join our team to work with European Institutions near site (up to 2 hours away) Brussels, in a hybrid work position.

Get to know us - SEIDOR

At SEIDOR, we drive client transformation and competitiveness with cutting-edge technology and innovation , with a relentless focus on the human element and a commitment to nurturing talent and sustainable growth.

As a diverse and inclusive company that champions equal opportunity, we boast a team of over 8,000 professionals in our global presence across 45 countries in Europe, Latin America, the USA, the Middle East, Africa, and Asia.

We believe the digital world's challenges require not only the best technologies and partnerships but most importantly, the best people. That's where you come in – we need you to help us scale new heights.

Your role

  • Creation and maintenance of Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses).
  • Creation and maintenance of data pipelines and foundational datasets to support analytics, modelling, experimentation, and product/business needs
  • Design and build database architectures with massive and complex data, balancing ergonomic benefits with computational load and cost
  • Close collaboration with data science, engineering, and devsecops teams to improve the coverage, accuracy, and reliability of instrumentation and monitoring
  • Creation of scalable dashboards and reports, in particular using POWER BI, to support business objectives and enable data-driven decision making
  • Designing architectures mostly on the cloud, in particular on Azure, but potentially also on premises (whether hosting or cloud on-premises) or combination of both (hybrid)
  • Designing ETL processes, using tools in accordance with the corporate catalog and in particular Microsoft Synapse.
  • Design and development of reporting applications
  • Physical DB design
  • DB performance analysis, in collaboration with our DevSecOps team
  • Design of data quality and performance monitoring processes
  • Writing technical documentation, such as architecture overview and technical specifications
  • Assistance to DevSecOps team with the deployment and configuration of the system.
  • Participation in meetings with other project teams, including the stakeholders in the business units
  • Gathering business requirements

What’s in it for you?

From day one, you’ll find opportunities for personal and professional development within a supportive team environment. We offer:

  • A hybrid work schedule, blending in-office collaboration with the convenience of working from home.
  • Continuous learning and development through SEIDOR Academy.
  • A dynamic international workplace with diverse teams.
  • A commitment to your well-being, work-life balance, and career growth.
  • Rapid advancement opportunities in a short period of time.
  • Engaging events and a comprehensive onboarding program.

At SEIDOR, your growth is our success, and we strive to make our workplace feel like home. Discover the nine core aspects of our culture that define us at SEIDOR:

https://www.seidor.com/en-es/talent

If this resonates with you, we'd love for you to apply to our opening, and we'll be in touch soon!

To ensure the integrity of the process, all candidates must:
  • Attend interviews with a working webcam and audio.
  • Be reachable by phone.
  • Provide verifiable professional references upon request.
Applications that do not meet these requirements will not be considered.

Who we think you are

  • Excellent knowledge of designing ETL / data pipelines using Microsoft Synapse. A
Certification on Microsoft Synapse, for example Microsoft Azure Date Engineer
Associate or minimum 3 years of hands-on experience with similar products of the
market;
  • Excellent knowledge of data warehouse / data lake and data lakehouse design
  • Excellent knowledge of relational database systems applied to data warehouse
  • Strong knowledge of non-relational database technologies, in particular, specific knowledge of vector database used to store embeddings in the context of AI-based solutions (e.g. RAG) is considered an asset.
  • Excellent knowledge of access rights management in datawarehouse/data lake. In particular, segregation of access at row level based on user roles.
  • Excellent knowledge of SQL
  • Very good knowledge of Python and Apache Spark. Knowledge of R would be considered an asset.
  • Excellent knowledge of business intelligence reporting tools. Specific knowledge of
Microsoft Power BI is considered an asset.
  • Good knowledge of cloud-based design. Knowledge of Microsoft Azure is considered an asset.
  • Excellent knowledge of online analytical data processing (OLAP) and data mining tools
Apply
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