• Execute ING’s Esperanto process based on an Agile way of working and alignment with the other chapters and stakeholders;
• Based on the input of business representatives refine requirements and translate them into business terms and conceptual models;
• Deliver according to agreed principles and quality criteria: ING Esperanto business terms, Conceptual Data Models, data requirements, Logical- and Physical Data Models, requirements mapping and documentation;
• Supporting, coaching and training of colleagues in ING on ING Esperanto;
• Work in close alignment with the Dev Ops team, final data consumer and countries on the solution development, testing and release;
• Report on the process and communication to stakeholders;
• Maintaining and supporting the usage of the data models in the ING organization;
• Maintaining business terms and definitions, including data quality requirements and additional meta data;
• Set up and maintain design principles, standards and guidelines for Esperanto components and way of working;
• Data analysis and issue investigation that implies medium to complex data aggregation and data processing.

• Previous banking experience: working with financial products and/or regulatory requirements (3 years plus);
• Bachelor’s degree in Computer Science or related field;
• Understanding of Data Management and/or IT architecture areas;
• Strong Knowledge of SQL and database concepts;
• Understanding of Entity - Relationship Data Modelling / Dimensional Data Modelling, being able to interpret logical and conceptual data models and able to explain these models in a natural language;
• Experience with data modelling methods and tools (like Power Designer, Info Sphere Data Architect);
• Data Warehousing / Data Modelling / Database Design;
• Excellent written and verbal communication English skills.

• Knowledge with the IBM’s BDW models;
• Experience as Senior Database Developer, Solution Designer or Data Architect (architecture, planning & roadmap, solution definition, solution follow-up & guidance);
• Knowledge of and a vision on data management and affinity with IT.