Middle Data Modeler

A professional corporate services company that embraces ambition and innovation to service Blackstone’s European real estate investments.

The world’s largest alternative asset manager, with a real estate portfolio that includes industrial & logistics, residential, office, hospitality and retail properties in North America, Europe, Asia, Australia and New Zealand.

We are seeking a highly skilled and experienced Middle Data Modeler with expertise in Azure, DataVault, and Kimball methodologies to join our dynamic team. As a Middle Data Modeler, you will be responsible for designing and implementing scalable and efficient data models that support our organization's data-driven initiatives. This is a hands-on role that requires strong technical proficiency and the ability to collaborate with cross-functional teams.

Best-in-class talent and services and unite Blackstone’s investments across all European countries. With its diversity (40+ different nationalities across the teams), the company provides an opportunity to centrally manage Blackstone’s European portfolios and creates conditions for success and continuous innovation, led by a culture based on drive and talent.

Located at the center of Europe, the Luxembourg office is home to talent from across the world. Together with our London and Amsterdam offices, we make up 40 different nationalities and celebrate our focus on diversity and inclusion. We are deeply people-oriented and invest in creating positive work environments. Our low employee turnover rate is proof that our extra-care approach is working.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Develop and implement data models using DataVault and Kimball methodologies to ensure efficient data storage, retrieval, and analysis. 
• Collaborate with business stakeholders, data engineers, and data analysts to understand data requirements and translate them into effective data models. 
• Design and optimize data models to meet performance and scalability requirements in an Azure cloud environment. 
• Implement best practices for data modeling, including standard naming conventions, data dictionaries, and metadata management. 
• Perform data profiling, data quality assessments, and data lineage analysis to ensure data accuracy and integrity. 
• Collaborate with database administrators and data engineers to ensure the efficient implementation and maintenance of data models. 
• Participate in data governance initiatives and contribute to the development and enforcement of data standards and policies. 
• Provide technical expertise and guidance in data modeling tools, techniques, and methodologies.

• Proven experience as a Middle Data Modeler or similar role, with a strong focus on Azure, DataVault, and Kimball methodologies.
• In-depth understanding of data modeling concepts, principles, and best practices
• Strong expertise in designing and implementing data models using DataVault and Kimball methodologies
• Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics
• Proficiency in data modeling tools, such as ER/Studio, PowerDesigner, or similar.
• Familiarity with data governance frameworks, data quality management, and data integration techniques.
• Excellent analytical and problem-solving skills with the ability to translate complex business requirements into effective data models.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Certifications in Azure data services, DataVault, or Kimball methodologies are a plus.