Mid-Level Data Engineer and Data Modeler – RDBMS and NoSQL

Our client is a global leader supporting diverse businesses and functions across regions, focused on enterprise-wide data management, analytics, and AI-driven insights.

• 3+ years of experience in relational, dimensional, and/or NoSQL data platforms, including ETL and data ingestion protocols.
• Strong knowledge of metadata management, data modeling, and tools such as Erwin or Visual Paradigm.
• Excellent communication skills with good command of English (Communicative level).
• Experience in team collaboration, management, and presentation.

Nice to have:

• Experience with MongoDB.
• Knowledge of data warehouse, data lake, and enterprise big data platforms in multi-data-center environments.

• Implement business and IT data requirements through innovative data strategies across all data platforms (application, relational, dimensional, and NoSQL).
• Work closely with business and solution teams to develop, build, and refine conceptual, logical, and physical data models.
• Define and enforce data modeling standards, best practices, and tools supporting enterprise data architecture.
• Identify architecture components, infrastructure, and interfaces supporting data sourcing, automated data loads, security, and analytics visualizations.
• Engage in hands-on modeling, design, configuration, performance tuning, and proof of concept activities.
• Proactively address project challenges, articulate issues, and reduce delivery risks through independent problem-solving.
• Oversee data architecture expansion and optimize query performance by applying best practices.

Only candidates with an existing legal right to work in the European Union will be considered for this role.