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). Good knowledge of German is beneficial, excellent command of English is essential. Higher education (e.g. “Fachhochschule”,“Wirtschaftsinformatik”).