Overview
Join to apply for the Data Modeler role at W3Global.
Location: Zurich, Switzerland. Permanent position. Onsite: 3 days/week. English Advanced; German Optional. Please share only EU Nationals.
Responsibilities
* 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 of sensitive data across regions.
* Performing reverse engineering of physical data models and evaluating existing data models 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 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 (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).
* Good knowledge of German is beneficial; excellent command of English is essential.
* Higher education (e.g. Fachhochschule, Wirtschaftsinformatik).
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
* Industries: Staffing and Recruiting
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