\\n \\n For our client, a major bank, we are seeking for a Big Data Lake Data Modeler.WORKLOAD100%WORKPLACEZurich / Remote (only from Switzerland)START DATE01.04.2025REFERENCE3291TYPEContractingPlease note that due to applicable Swiss legislation, we can only consider applications from Swiss citizens, EU citizens, and individuals with a valid work permit.Remote work from abroad is not possible.Tasks

• 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
• Closely collaborate with the Data & Analyties Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model
• 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
• Performing reverse engineering of physical data models
• Evaluating already existing data models and physical databases for variances and discrepancies

Requirements

• At least five years of professional experience with physical and relational data modeling
• Understanding and translating business needs into data models supporting long-term solutions
• Experience in large data migration projects and Big Data on-prem architecture (Lambda Architecture, Apache Stack)
• Hands-on experience with visual Data Transformation / Modeling tools (Alteryx, Dataiku, Tableau prep, Hackolade, Erwin)
• Knowledge of reference architectures, especially concerning integrated, data driven landscapes and solutions
• Knowledge of agile project management and methods (e.g., Scrum, SAFe)
• Knowledge of Banking data products / financial sector
• Solid knowledge around financial data classification / sensitivity
• Expert knowledge of metadata management and related tools
• Strong understanding of Data modeling standards and processes
• Strong understanding of data modeling tools (cleansing, Meta Data etc.)
• Good knowledge in German and fluency in English

Soft Skills

• Interpersonal skills
• Agile Project Management
• Working in cross-divisional setup between IT and Business
• Working under pressure to resolve unknown roadblocks
• Excellence business stakeholder management

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\\n\\n \\n Bosshard & Partner\\n \\n\\n

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