Role:
Data Modeler
Location:
Zurich, Switzerland
Type of Hiring:
Permanent
Onsite/Offsite:
Hybrid Remote. 3 days onsite, 2 days remote.
Job Description:
An IT professional with strong banking experience responsible for capturing and modeling data requirements. data definitions, business rules, data quality requirements, and logical data models.
Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
Development, coordination, and implementation of principles, best practices, guidelines, and standards for Common Data Model and its consistency
Work with the development team to implement data strategies, build data flows and support development of conceptual data model
Experience
At least five years of professional experience with physical and relational data modeling
Experience in stakeholder management in heterogeneous business/technology organizations
Experience in banking or financial business, with handling sensitive data across regions
Performing reverse engineering of physical data models. Evaluating already existing data models and physical databases for variances and discrepancies
Hands-on experience with visual Data Transformation / Modeling tools (Alteryx, Dataiku, Tableau prep, Hackolade, Erwin)
Experience working with metadata management and related tools (e.g. Collibra)
Skills
Knowledge of reference architectures, especially concerning integrated, data-driven landscapes and solutions
Solid knowledge of Banking data products / financial sector, financial data classification / sensitivity
Expert SQL skills, preferably in mixed environments (i.e. classic DWH and distributed)
Understanding and translating business needs into data models supporting long-term solutions
Applying a data quality framework within the architecture
Track record in Agile project management and methods (e.g., Scrum, SAFe).